Publications

 

 

Reviewed Journal and Conference Papers

 

2024

 

  • Julia Reuter, Viktor Martinek, Roland Herzog and Sanaz Mostaghim
  • Unit-Aware Genetic Programming for the Development of Empirical Equations
  • In: Affenzeller, M., et al. Parallel Problem Solving from Nature – PPSN XVIII. PPSN 2024. Lecture Notes in Computer Science, vol 15148. Springer, Cham. https://doi.org/10.1007/978-3-031-70055-2_11 

 

 

  • Sebastian Mai and Sanaz Mostaghim
  • Decentralized Conflict Resolution for Navigation in Swarm Robotics
  • In: Hamann, H., et al. Swarm Intelligence. ANTS 2024. Lecture Notes in Computer Science, vol 14987. Springer, Cham. https://doi.org/10.1007/978-3-031-70932-6_17 

 

 

  • Carlo Nübel, Alexander Dockhorn, and Sanaz Mostaghim  
  • Match Point AI: A Novel AI Framework for Evaluating Data-Driven Tennis Strategies
  • 2024 IEEE Conference on Games (CoG), Milan, Italy, 2024, pp. 1-4, https://doi.org/10.1109/CoG60054.2024.10645571  

 

 

 

  • Tomoya Hömberg, Sanaz Mostaghim, Satoru Hiwa, Tomoyuki Hiroyasu
  • Optimized Drug Design using Multi-Objective Evolutionary Algorithms with SELFIES
  • 2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024, pp. 1-8, doi: 10.1109/CEC60901.2024.10611870

 

  • Dominik Weikert, Christoph Steup, Sanaz Mostaghim
  • Adverse Weather Benchmark Dataset for LiDAR-based 3D Object Recognition and Segmentation in Autonomous Driving
  • 2024 IEEE Conference on Artificial Intelligence (CAI), Singapore, Singapore, 2024, pp. 125-126, doi: 10.1109/CAI59869.2024.00031

 

  • Saiful Islam, Sanaz Mostaghi, Michael Hartmann
  • A Survey on Multi-Objective Optimization in Microgrid Systems
  • 2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024, pp. 1-8, doi: 10.1109/CEC60901.2024.10611915 

 

  • Lukas Bostelmann-Arp, Christoph Steup and Sanaz Mostaghim
  • Free-Form Coverage Path Planning of Quadcopter Swarms for Search and Rescue Missions using Multi-Objective Optimization
  • 2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024, pp. 1-8, doi: 10.1109/CEC60901.2024.10611984

 

  • Boris Djartov, Sanaz Mostaghim, Anne Papenfuss and Mathias Wies
  • A Learning Classifier System Approach to Time-Critical Decision-Making in Dynamic Alternate Airport Selection
  • 2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024, pp. 1-8, doi: 10.1109/CEC60901.2024.10612016

 

  • Markus Rothkötter, Niklas Kluge and Sanaz Mostaghim
  • Application of a Bi-objective EA for RAN Resources Optimization in a Dynamic Scenario
  • 2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024, pp. 1-8, doi: 10.1109/CEC60901.2024.10611983

 

  • Simon Anderer, Nicolas Justen, Bernd SCheuermann and Sanaz Mostaghim
  • Survival Strategies for Evolutionary Role Mining Algorithms Using Expert Knowledge
  • In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '24 Companion). Association for Computing Machinery, New York, NY, USA, 623–626. https://doi.org/10.1145/3638530.3654183 

 

  • Jens Weise and Sanaz Mostaghim
  • Finding sets of solutions for temporal uncertain problems
  • In: Smith, S., Correia, J., Cintrano, C. (eds) Applications of Evolutionary Computation. EvoApplications 2024. Lecture Notes in Computer Science, vol 14634. Springer, Cham. https://doi.org/10.1007/978-3-031-56852-7_14

 

2023 

 

  • Oliver Antons, Tobias Benecke, Sanaz Mostaghim, Julia Arlinghaus
  • Sustainability in Chemical Production – Multi-Objective Distributed Control
  • Frontiers in Artificial Intelligence and Applications, New Trends in Intelligent Software Methodologies, Tools and Techniques, Pages 211 - 219, 
    10.3233/FAIA230236, 2023

 

  • Adrian Köring and Christoph Steup
  • PyramidEnsemble: Joining Large and Small Models
  • 2023 IEEE Symposium Series on Computational Intelligence (SSCI), Mexico City, Mexico, 2023, pp. 689-694, doi: 10.1109/SSCI52147.2023.10371902.

 

  • Julia Reuter, Pravin Pandey and Sanaz Mostaghim
  • Multi-Objective Island Model Genetic Programming for Predicting the Stokes Flow Around a Sphere
  • 2023 IEEE Symposium Series on Computational Intelligence (SSCI), Mexico City, Mexico, 2023, pp. 1485-1490, doi: 10.1109/SSCI52147.2023.10371955.

 

  • Tobias Benecke and Sanaz Mostaghim
  • Effects of Optimal Genetic Material in the Initial Population of Evolutionary Algorithms
  • 2023 IEEE Symposium Series on Computational Intelligence (SSCI), Mexico City, Mexico, 2023, pp. 1386-1391, doi: 10.1109/SSCI52147.2023.10372037.

 

  • Sanaz Mostaghim, Qihao Shan, Christiane Desel, Alexander Duscha, Aiden Haghikia, Tobias Hegelmeier, Felix Kuhn, Stefan Remy
  • Medical and Behavioral Knowledge Discovery using Multi-Objective Analysis

  • 2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Eindhoven, Netherlands, 2023, pp. 1-8, doi: 10.1109/CIBCB56990.2023.10264881.

 

  • Simon Anderer, Tobias Kempter, Bernd Scheuermann and Sanaz Mostaghim
  • Dynamic Optimization of Role Concepts for Role-Based Access Control Using Evolutionary Algorithms
  • Springer Nature Computer Science. 4, 416 (2023). https://doi.org/10.1007/s42979-023-01805-1 

 

  • Boris Djartov and Sanaz Mostaghim 
  • Multi-objective Multiplexer Decision Making Benchmark Problem
  • In Proceedings of the Companion Conference on Genetic and Evolutionary Computation (GECCO '23 Companion). Association for Computing Machinery, New York, NY, USA,  July 2023, pp 1676–1683, https://doi.org/10.1145/3583133.3596360

 

  • Iffat Jamil, Sanaz Mostaghim, Berend van Wachem, Victor Cheron and Max Hausmann
  • Landscape Analysis of Multi-objective Control of Fluidized Beds
  • In Proceedings of the Companion Conference on Genetic and Evolutionary Computation (GECCO '23 Companion). Association for Computing Machinery, New York, NY, USA,  July 2023, pp 1950–1955, https://doi.org/10.1145/3583133.3596384

 

  • Julia Heise, Jens Weise and Sanaz Mostaghim
  • Towards Benchmarking of Pathfinding Algorithms in Path-Influenced Environments
  • In Proceedings of the Companion Conference on Genetic and Evolutionary Computation (GECCO '23 Companion). Association for Computing Machinery, New York, NY, USA,  July 2023, pp 69–70 https://doi.org/10.1145/3583133.3596434

 

  • Lukas Bostelmann-Arp, Christoph Steup and Sanaz Mostaghim
  • Linking Field Decomposition and Coverage Path Planning: A Coevolution Approach
  • 2023 IEEE Conference on Artificial Intelligence (CAI), Santa Clara, CA, USA, 2023, pp. 294-295, doi: https://doi.org/10.1109/CAI54212.2023.00131 

 

  • Thomas Seidelmann and Sanaz Mostaghim
  • Surrogate Functions and Digital Twin Simulation for Modern Facility Layout Planning
  • 2023 IEEE Conference on Artificial Intelligence (CAI), Santa Clara, CA, USA, 2023, pp. 197-198, doi: 10.1109/CAI54212.2023.00093

 

  • Markus Rothkötter, Jens Weise and Sanaz Mostaghim 
  • Towards a new Model for a 6G Network-of-Networks 
  • 2023 IEEE Conference on Artificial Intelligence (CAI), Santa Clara, CA, USA, 2023, pp. 255-256, doi: 10.1109/CAI54212.2023.00114 

 

 

  • Tobias Benecke, Sanaz Mostaghim, Oliver Antons and Julia Arlinghaus
  • A Coevolution approach for the Multi-objective Circular Supply Chain Problem
  • 2023 IEEE Conference on Artificial Intelligence (CAI), Santa Clara, CA, USA, 2023, pp. 222-223, doi: 10.1109/CAI54212.2023.00103

 

  • Tobias Benecke, Sanaz Mostaghim, Oliver Antons and Julia Arlinghaus
  • A Generalized Circular Supply Chain Problem for Multi-objective Evolutionary Algorithms
  • In Proceedings of the Companion Conference on Genetic and Evolutionary Computation (GECCO '23 Companion). Association for Computing Machinery, New York, NY, USA, pp 355–358. https://doi.org/10.1145/3583133.3590742 

 

  • Lukas Bostelmann-Arp, Christoph Steup and Sanaz Mostaghim
  • Multi-Objective Seed Curve Optimization for Coverage Path Planning in Precision Farming
  • In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '23). Association for Computing Machinery, New York, NY, USA, 1312–1320. https://doi.org/10.1145/3583131.3590490 

 

  • Markus Rothkötter and Sanaz Mostaghim
  • A Preference-based Activity Scheduling Algorithm Using Many-objective Optimization
  • In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '23). Association for Computing Machinery, New York, NY, USA, pp 407–410https://doi.org/10.1145/3583133.3590664

 

  • Julia Reuter, Hani Elmestikawy, Sanaz Mostaghim, Fabien Evrard and Berend van Wachem
  • Graph Networks as Inductive Bias for Genetic Programming: Symbolic Models for Particle-Laden Flows
  • In: Pappa, G., Giacobini, M., Vasicek, Z. (eds) Genetic Programming. EuroGP 2023. Lecture Notes in Computer Science, vol 13986. Springer, Cham. https://doi.org/10.1007/978-3-031-29573-7_3 
  • Received the best paper award

 

 

 

  • Dominik Weikert, Christoph Steup and Sanaz Mostaghim 
  • Multi-Objective Task Allocation Algorithms for IoT Networks
  • Sensors 2023, 23(1), 142; https://doi.org/10.3390/s23010142

 

 

2022

 

  • Dominik Fischer, Sanaz Mostaghim and Thomas Seidelmann
  • Exploring Dynamic Pandemic Containment Strategies Using Multi-Objective Optimization
  • IEEE Computational Intelligence Magazine, Volume 17, Number 3, Pages 54 - 66, August 2022

 

  • Qihao Shan and Sanaz Mostaghim
  • Noise-resistant and Scalable Collective Preference Learning via Ranked Voting in Swarm Robotics 
  • Swarm Intelligence Journal, Springer, 2022 https://doi.org/10.1007/s11721-022-00214-z   

 

  • Jens Weise and Sanaz Mostaghim

 

  • Mahrokh Javadi and Sanaz Mostaghim

 

 

  • Alexander Dockhorn, Martin Kirst, Sanaz Mostaghim, Martin Wieczorek, Heiner Zille

 

  • Jens Weise and Sanaz Mostaghim
  • A Scalable Many-Objective Pathfinding Benchmark Suite
  • IEEE Transactions on Evolutionary Computation, vol. 26, no. 1, pp. 188-194, Feb. 2022, doi: 10.1109/TEVC.2021.3089050 

 

  • Boris Djartov, Sanaz Mostaghim, Anne Papenfuß, and Matthias Wies
  • Description and First Evaluation of an Approach for a Pilot Decision Support System Based on Multi-attribute Decision Making
  • In the Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE Multi-Criteria Decision-Making Symposium (MCDM), Singapore, 2022

 

  • Sebastian Mai and Sanaz Mostaghim
  • Collective Decision-making for Conflict Resolution in Multi-Agent Pathfinding
  • In: , et al. Swarm Intelligence. ANTS 2022. Lecture Notes in Computer Science, vol 13491. Springer, Cham. https://doi.org/10.1007/978-3-031-20176-9_7 

 

  • Qihao Shan and Sanaz Mostaghim
  • Benchmarking Performances of Collective Decision-making Strategies with Respect to Communication Bandwidths in Discrete Collective Estimation
  • In: , et al. Swarm Intelligence. ANTS 2022. Lecture Notes in Computer Science, vol 13491. Springer, Cham. https://doi.org/10.1007/978-3-031-20176-9_5 

 

  • Dominik Weikert, Christoph Steup, and Sanaz Mostaghim
  • Multi-Objective Task Allocation for Dynamic IoT Networks
  • COINS 22: IEEE International Conference on Omni-layer Intelligent Systems,  doi: 10.1109/COINS54846.2022.9854949.

 

 

  • Lukas Bostelmann-Arp, Sanaz Mostaghim, Andreas Braun, Thomas Tüting
  • Multi-Objective Evolutionary Game Theory: A case study in cancer therapy
  • In the Proceedings of the ALIFE 2022: The 2022 Conference on Artificial Life. ASME. https://doi.org/10.1162/isal_a_00498

 

 

 

 

 

 

 

 

 

 

2021

 

 

 

  • Qihao Shan and Sanaz Mostaghim
  • Achieving Task Allocation in Swarm Intelligence with Bi-Objective Embodied Evolution
  • Springer Journal on Swarm Intelligence, 2021, https://doi.org/10.1007/s11721-021-00198-2, June 2021

 

  • Jens Weise and Sanaz Mostaghim
  • A Scalable Many-Objective Pathfinding Benchmark Suite
  • IEEE Transactions on Evolutionary Computation, doi: 10.1109/TEVC.2021.3089050, 2021  --> Link (Early Access) --> Supplementary Material

 

 

  • Alexander Dockhorn, Sanaz Mostaghim, Martin Kirst and Martin Zettwitz
  • Multi-Objective Optimization and Decision-Making in Context Steering
  • In the Proceedings of the IEEE Conference on Games, 2021, doi: 10.1109/CoG52621.2021.9619155

 

  • Dominik Weikert, Christoph Steup, David Atienza and Sanaz Mostaghim
  • Mobility-Aware Multi-Objective Task Allocation for Wireless Sensor Networks
  • In the Proceedings of the 2021 IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, USA, 2021, doi: 10.1109/SSCI50451.2021.9660109

 

  • Simon Anderer, Daniel Kreppein, Bernd Scheuermann, and Sanaz Mostaghim
  • The Dynamic Role Mining Problem: Role Mining in Dynamically Changing Business Environments
  • In the Proceedings of the 13th International Conference on Evolutionary Computation Theory and Applications (ECTA/IJCCI), October 25 - 27, 2021

 

  • Tobias Benecke and Sanaz Mostaghim
  • The Impact of Population Size on the Convergence of Multi-objective Evolutionary Algorithms
  • In the Proceedings of the 2021 IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, USA, 2021, doi: 10.1109/SSCI50451.2021.9660164

 

  • Qihao Shan, Alexander Heck and Sanaz Mostaghim
  • Discrete Collective Estimation in Swarm Robotics with Ranked Voting Systems
  • In the Proceedings of the 2021 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE Symposium on Swarm Intelligence, Orlando, USA, 2021, doi: 10.1109/SSCI50451.2021.9659868

 

  • Thomas Seidelmann, Jens Weise and Sanaz Mostaghim
  • Meeting Demands for Mass Customization: A Hybrid Organic Computing Approach
  • In the Proceedings of the 2021 IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, USA, 2021, doi: 10.1109/SSCI50451.2021.9659946

 

  • Jens Weise, Heiner Zille and Sanaz Mostaghim
  • A Comparative Study of Different Encodings on the Multi-Objective Pathfinding Problem
  • In the Proceedings of the 2021 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE Symposium on Multi-criteria Decision-Making, Orlando, USA, 2021, doi: 10.1109/SSCI50451.2021.9660055

 

  • Mahrokh Javadi and Sanaz Mostaghim 
  • A Multi-objective Multimodal Evolutionary Algorithm Using a Novel Tournament and Environmental Selections
  • In the Proceedings of the 2021 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE Symposium on Multi-criteria Decision-Making, Orlando, USA, 2021, doi: 10.1109/SSCI50451.2021.9660003

 

  • Jens Weise and Sanaz Mostaghim
  • A Novel Niching Methodology for the Many-Objective Pathfinding Problem
  • In the Proceedings of the 2021 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE Symposium on Multi-criteria Decision-Making, Orlando, USA, 2021, doi: 10.1109/SSCI50451.2021.9659956

 

  • Tobias Benecke and Sanaz Mostaghim 
  • Tracking the Heritage of Genes in Evolutionary Algorithms
  • In the Proceedings of the 2021 IEEE Congress on Evolutionary Computation (CEC), 2021, pp. 1800-1807, doi: 10.1109/CEC45853.2021.9504916.

 

  • Rohit Salgotra, Amiram Moshaiov, Thomas Seidelmann, Dominik Fischer and Sanaz Mostaghim 
  • Optimal Control Policies to Address the Pandemic Health-Economy Dilemma
  • In the Proceedings of the 2021 IEEE Congress on Evolutionary Computation (CEC), 2021, pp. 720-727, doi: 10.1109/CEC45853.2021.9504758.

 

  • Heiner Zille, Fabien Evrard, Sanaz Mostaghim and Berend van Wachem
  • Unit-aware Multi-objective Genetic Programming for the Prediction of the Stokes Flow around a Sphere (Download) (Supplement Material)
  • In the Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 21) Companion, pp. 327–328, ACM, Lille, France, July 2021. --> Link 

 

  • Heiner Zille, Fabien Evrard, Julia Reuter, Sanaz Mostaghim and Berend van Wachem
  • Assessment of Multi-objective and Coevolutionary Genetic Programming for predicting the Stokes Flow around a Sphere (Download)
  • In the Proceedings of the 14th International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control (EUROGEN 2021), ECCOMAS, Athens, Greece, June 2021

 

  • Sanaz Mostaghim and Sebastian Mai

 

  • Jens Weise and Sanaz Mostaghim
  • Many-Objective Pathfinding based on Fréchet Similarity Metric
  • In: Ishibuchi H. et al. (eds) Evolutionary Multi-Criterion Optimization. EMO 2021. Pages 375-386. Lecture Notes in Computer Science, vol 12654. Springer, Cham. https://doi.org/10.1007/978-3-030-72062-9_30 

 

  • Mahrokh Javadi and Sanaz Mostaghim
  • A Neighborhood-based Density Measure for Multimodal Multi-Objective Optimization
  • In: Ishibuchi H. et al. (eds) Evolutionary Multi-Criterion Optimization. EMO 2021. Pages 335-345. Lecture Notes in Computer Science, vol 12654. Springer, Cham. https://doi.org/10.1007/978-3-030-72062-9_27  (Source Code)

 

  • Mahrokh Javadi, Cristian Ramirez-Atencia and Sanaz Mostaghim
  • Combining Manhattan and Crowding distances in Decision Space for Multimodal and Multi-objective Optimization Problems
  •  In: Gaspar-Cunha A., Periaux J., Giannakoglou K.C., Gauger N.R., Quagliarella D., Greiner D. (eds) Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. Computational Methods in Applied Sciences, vol 55. Springer, Cham., pp. 131-145, 2021 --> https://link.springer.com/chapter/10.1007/978-3-030-57422-2_9

 

  • Mahrokh Javadi, Heiner Zille and Sanaz Mostaghim
  • The effects of Crowding Distance and Mutation in Multimodal and Multi-objective Optimization Problems
  •  In: Gaspar-Cunha A., Periaux J., Giannakoglou K.C., Gauger N.R., Quagliarella D., Greiner D. (eds) Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. Computational Methods in Applied Sciences, vol 55. Springer, Cham., pp. 115-130, 2021 --> https://link.springer.com/chapter/10.1007/978-3-030-57422-2_8

 

  • Sanaz Mostaghim
  • IEEE CIS VP-Member Activities Vision Statement [Society Briefs]
  • In IEEE Computational Intelligence Magazine, vol. 16, no. 1, pp. 8-8, Feb. 2021, doi: 10.1109/MCI.2020.3038987.

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2020

 

  • Victor Charpenay, Daniel Schraudner, Thomas Seidelmann, Torsten Spieldenner, Jens Weise, Rene Schubotz,Sanaz Mostaghim, Andreas Harth
  • MOSAIK: A Formal Model for Self-Organizing Manufacturing Systems
  • IEEE Transactions on Pervasive Computing, Special Issue on Pervasive Manufacturing, 2020, DOI: 10.1109/MPRV.2020.3035837  --> Link 

 

  • Christoph Steup, Simon Parlow, Sebastian Mai and Sanaz Mostaghim
  • Generic Component-based Mission-centric Energy Model for Micro-scale Unmanned Aerial Vehicles
  • Drones, 4(4), 63, September 2020. https://doi.org/10.3390/drones4040063 Open Access --> Link

 

 

  • Dominik Fischer, Larissa Albantakis and Sanaz Mostaghim
  • How cognitive and environmental constraints influence the reliability of simulated animats in groups
  • PLoS ONE 15(2): e0228879, February 2020. https://doi.org/10.1371/journal.pone.0228879 Open access --> Link

 

 

  • Akshay Thakur,  Robert Becker, Daniel Großmann and Sanaz Mostaghim
  • Survey into predictive key performance indicator analysis from data mining perspective
  • IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, no. 9212111, pp. 476-483, 2020, DOI: 10.1109/ETFA46521.2020.9212111 -> Link

 

  • Palina Bartashevich, Doreen Koerte and Sanaz Mostaghim
  • Impact of Communication Topology on PSO-based Swarms in Vector Fields
  • In the proceedings of 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, 2020, pp. 497-504, doi: 10.1109/SSCI47803.2020.9308526 --> Link

 

  • Dominik Weikert, Christoph Steup and Sanaz Mostaghim
  •  Multi-Objective Task Allocation for Wireless Sensor Networks
  • In the proceedings of the 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, 2020, pp. 181-188, doi: 10.1109/SSCI47803.2020.9308345 --> Link

 

  • Sebastian Mai and Sanaz Mostaghim 
  • Modelling Pathfinding for Swarm Robotics
  • In: Dorigo M. et al. (eds) Swarm Intelligence. ANTS 2020. Lecture Notes in Computer Science, vol 12421. Springer, Cham. 2020. https://doi.org/10.1007/978-3-030-60376-2_15 

 

  • Qihao Shan and Sanaz Mostaghim 
  • Collective Decision Making in Swarm Robotics with Distributed Bayesian Hypothesis Testing
  • In: Dorigo M. et al. (eds) Swarm Intelligence. ANTS 2020. Lecture Notes in Computer Science, vol 12421. Springer, Cham. 2020. https://doi.org/10.1007/978-3-030-60376-2_5 

 

  • Dominik Weikert, Christoph Steup and Sanaz Mostaghim
  • Enhancing Resilience in IoT Networks using Organic Computing: Challenges and Requirements
  • In: Reussner, R. H., Koziolek, A. & Heinrich, R. (Hrsg.), INFORMATIK 2020. Gesellschaft für Informatik, Bonn. (S. 1205-1214). DOI: 10.18420/inf2020_112

 

  • Agha Ali H. Qizilbash, Christian Henkel and Sanaz Mostaghim
  • Ant Colony Optimization based Multi-Robot Planner for Combined Task Allocation and Path Finding
  • In 17th International Conference on Ubiquitous Robots (UR), Kyoto, Japan, 2020, pp. 487-493, doi: 10.1109/UR49135.2020.9144944 --> Link

 

  • Jens Weise, Sebastian Mai, Heiner Zille and Sanaz Mostaghim
  • On the Scalable Multi-Objective Multi-Agent Pathfinding Problem
  • In the Proceedings of IEEE Congress on Evolutionary Computation (CEC), World Congress on Computational Intelligence, Glasgow, UK, 2020 doi: 10.1109/CEC48606.2020.9185585  --> Link to video presentation , Link to IEEE Xplore

 

 

  • Jens Weise and Sanaz Mostaghim
  • A Many-Objective Route Planning Benchmark Problem for Navigation
  • In the Proceedings of the Genetic and Evolutionary Computation Conference Companion, ACM, Mexico, 2020. --> Link to video presentation, Link to ACM

 

 

  • Simon Anderer, Daniel Kreppein, Bernd Scheuermann, and Sanaz Mostaghim
  • The addRole-EA - a new evolutionary algorithm for the role mining problem
  • In the Proceedings of the 12th International Joint Conference on Computational Intelligence. Volume 1 : November 2-4, 2020 - Scitepress Digital Library , 2020 ; Merelo, Juan Julian, pp. 155-166, 2021

 

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2019

  • Xenija Neufeld, Sanaz Mostaghim, Dario L. Sancho-Pradel and Sandy Brand
  • Building a Planner: A Survey of Planning Systems Used in Commercial Video Games 
  • IEEE Transactions on Games, Volume, 11 , Issue: 2 , June 2019 (Download) --> Link

 

  • Mahrokh Javadi, Cristian Ramirez-Atencia and Sanaz Mostaghim
  • Combining Manhattan and Crowding distances in Decision Space for Multimodal and Multi-objective Optimization Problems
  • Extended Abstarct, EUROGEN conference, September 2019 --> Download

 

  • Mahrokh Javadi, Heiner Zille and Sanaz Mostaghim
  • The effects of Crowding Distance and Mutation in Multimodal and Multi-objective Optimization Problems
  • Proceedings of the 13th International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control (EUROGEN 2019), ECCOMAS, Guimarães, Portugal, September 2019. --> Download

 

  • Palina Bartashevich and Sanaz Mostaghim
  • Ising Model as a Switch Voting Mechanism in Collective Perception (Download)
  • EPIA Conference on Artificial Intelligence 2019. Lecture Notes in Computer Science, vol 11805. Springer, pp. 617-629, September 2019 --> Link

 

  • Palina Bartashevich and Sanaz Mostaghim
  • Benchmarking Collective Perception: New Task Difficulty Metrics for Collective Decision-Making (Download)
  • EPIA Conference on Artificial Intelligence 2019. Lecture Notes in Computer Science, vol 11804. Springer, pp. 699-711, September 2019 --> Link

 

  • Sebastian Mai, Heiner Zille, Christoph Steup and Sanaz Mostaghim
  • Online Optimization of Movement Cost for Robotic Applications of PSO
  • EPIA Conference on Artificial Intelligence 2019, Lecture Notes in Computer Science, vol 11804. Springer, pp. 699-711, September 2019 --> Link

 

  • Xenija Neufeld, Sanaz Mostaghim and Diego Perez-Liebana
  • A Hybrid Planning and Execution Approach Through HTN and MCTS
  • In Proceedings of the Intex Workshop at ICAPS-2019, Association for the Advancement of Artificial Intelligence (AAAI), Pages 37 - 45, 2019  --> Link

 

  • Xenija Neufeld, Sanaz Mostaghim and Diego Perez-Liebana
  • Evolving Game State Evaluation Functions for a Hybrid Planning Approach
  • In Proceedings of the IEEE Conference on Games, London, 21-23 August 2019 --> Link

 

  • Alexander Dockhorn, Simon M. Lucas, Vanessa Volz, Ivan Bravi, Raluca D. Gaina, and Diego Perez-Liebana
  • Learning Local Forward Models on Unforgiving Games
  • IEEE Conference on Games, London, August 2019

 

  • Simon M. Lucas, Alexander Dockhorn, Vanessa Volz, Chris Bamford, Raluca D. Gaina, Ivan Bravi, Diego Perez-Liebana, Sanaz Mostaghim, Rudolf Kruse
  • A Local Approach to Forward Model Learning: Results on the Game of Life Game
  • In Proceedings of the IEEE Conference on Games, London, 21-23 August 2019 --> Link 

 

  • Alexander Dockhorn, Tony Schwensfeier, and Rudolf Kruse
  • Fuzzy Multiset Clustering for Metagame Analysis
  • In the Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, Prague, September 2019 --> PDF, Github

 

  • Alexander Dockhorn and Sanaz Mostaghim
  • Introducing the Hearthstone-AI Competition 
  • Open Access Paper on arXiv.org, 2019

 

  • Sebastian Mai, Heiner Zille, Christoph Steup and Sanaz Mostaghim 
  • Multi-Objective Collective Search and Movement-based Metrics in Swarm Robotics
  • In the Proceedings of the Genetic and Evolutionary Computation Conference Companion, ACM, 387-388, 2019 --> Link

 

  • Palina Bartashevich and Sanaz Mostaghim
  • Positive Impact of Isomorphic Changes in the Environment on Collective Decision-Making
  • In the Proceedings of the Genetic and Evolutionary Computation Conference Companion, ACM, 105-106, 2019 --> Link

 

  • Mahrokh Javadi, Heiner Zille and Sanaz Mostaghim
  • Modified Crowding Distance and Mutation for Multimodal Multi-Objective Optimization
  • In the Proceedings of the Genetic and Evolutionary Computation Conference Companion, ACM, 211-212, 2019 --> Link

 

  • Marde Helbig, Heiner Zille, Mahrokh Javadi and Sanaz Mostaghim
  • Performance of Dynamic Algorithms on the Dynamic Distance Minimization Problem
  • In the Proceedings of the Genetic and Evolutionary Computation Conference Companion, ACM, 205-206, 2019 --> Link

 

  • Jens Weise, Steven Benkhardt and Sanaz Mostaghim
  • Graph-based Multi-Objective Generation of Customised Wiring Harnesses
  • In the Proceedings of the Genetic and Evolutionary Computation Conference Companion, ACM, 407-408, 2019 --> Link

 

  • Heiner Zille and Sanaz Mostaghim
  • Linear Search Mechanism for Multi- and Many-Objective Optimisation (Download) (Sourcecode)

  • In the Proceedings of the 10th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2019), Lecture Notes in Computer Science, vol 11411. Deb K. et al. (eds), Springer, Cham, East Lansing, Michigan, USA, March 2019 --> Link. The final authenticated version is available online at https://doi.org/10.1007/978-3-030-12598-1_32.

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2018

  • Sanaz Mostaghim, Christoph Steup and Heiner Zille
  • Multi-Objective Distance Minimization Problems and its Application in Technical Systems
  • at - Automatisierungstechnik, 66(11), pp. 964-974. Nov. 2018, doi:10.1515/auto-2018-0054 --> Link

 

  • Heiner Zille, Hisao Ishibuchi, Sanaz Mostaghim and Yusuke Nojima
  • A Framework for Large-scale Multi-objective Optimization based on Problem Transformation (Download) (Supplement Material) (Sourcecode) 
  • IEEE Transactions on Evolutionary Computation, Vol. 22, Issue 2, pp. 260-275, April 2018. --> Link

 

  • Lukas Hoyer, Christoph Steup and Sanaz Mostaghim
  • A Robot Localization Framework Using CNNs for Object Detection and Pose Estimation
  • In the Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), IEEE SSCI 2018, Pages 1388-1395, India, November 2018

 

  • Jens Weise, Steven Benkhardt and Sanaz Mostaghim
  • A Survey on Graph-based Systems in Manufacturing Processes
  • In the Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), IEEE SSCI 2018, Pages 112-119, India, November 2018 --> Link

 

  • Sebastian Mai, Christoph Steup and Sanaz Mostaghim
  • Simultaneous Localisation and Optimisation for Swarm Robotics
  • In the Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), IEEE SSCI 2018, Pages 1998-2004, India, November 2018

 

  • Asema Hassan and Sanaz Mostaghim
  • Understanding Collective Decision-Making in Natural Swarms
  • In the Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), IEEE SSCI 2018, Pages 1563-1570, India, November 2018

 

  • Hemant Singh, Kalyan Bhattacharjee, Tapabrata Ray and Sanaz Mostaghim
  • Investigation of a simple distance based ranking metric for decomposition-based multi/many-objective evolutionary algorithms
  • In: Mitrovic T., Xue B., Li X. (eds) AI 2018: Advances in Artificial Intelligence. AI 2018. Lecture Notes in Computer Science, vol 11320. Springer, 2018 --> Link

 

  • Xenija Neufeld, Sandy Brand and Sanaz Mostaghim
  • A Hybrid Approach to Planning and Execution in Dynamic Environments Through Hierarchical Task Networks and Behavior Trees
  • In the Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE'18), Canada, November 2018

 

  • Sebastian Mai, Christoph Steup and Sanaz Mostaghim 
  • Movement-based Localisation for PSO-inspired Search Behaviour of Robotic Swarms
  • In the Proceedings of the 11th International Conference on Swarm intelligence: ANTS 2018, Rome, Italy, October 2018  Springer, S. 431-432 - (Lecture Notes in Computer Science; 11172), 2018

 

  • Simon Anderer, Thanh-Ha Vu, Bernd Scheuermann and Sanaz Mostaghim
  • Meta Heuristics for Dynamic Machine Scheduling A Review of Research Efforts and Industrial Requirements  
  • Accepted at the International Joint Conference on Computational Intelligence (IJCCI), Spainl, September, 2018

 

  • Palina Bartashevich, Welf Knors and Sanaz Mostaghim
  • Vector Field Benchmark for Collective Search in Unknown Dynamic Environments
  • In the Proceedings of the 11th International Conference on Swarm intelligence: ANTS 2018, Rome, Italy, October 2018  Springer, S. 411-419 - (Lecture Notes in Computer Science; 11172), 2018

 

  • Palina Bartashevich, Illya Bakurov, Sanaz Mostaghim, and Leonardo Vanneschi
  • PSO-based Search Rules for Aerial Swarms Against Unexplored Vector Fields via Genetic Programming
  • In the Proceedings of Parallel Problem Solving from Nature - PPSN XV: 15th International Conference, Coimbra, Portugal, S. 41-53 - (Lecture Notes in Computer Science; 11101), 2018

 

  • Frederick Sander, Heiner Zille and Sanaz Mostaghim
  • Transfer Strategies from Single- to Multi-objective Grouping Mechanism (Download) (Supplement Material) (Sourcecode)
  • In the Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO), Pages 729-736, Kyoto, July 2018 --> Link

 

  • Dominik Fischer, Larissa Albantakis and Sanaz Mostaghim
  • How swarm size during evolution impacts the behavior, generalizability, and brain complexity of animats performing a spatial navigation task
  • In the Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO), Pages 77-84, Kyoto, July 2018 --> Link

 

  • Palina Bartashevich, Illya Bakurov, Sanaz Mostaghim, and Leonardo Vanneschi
  • Evolving PSO Algorithm Design in Vector Fields Using Geometric Semantic GP
  • In the Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO), Pages 262-263, Kyoto, July 2018  --> Link

 

  • Sanaz Mostaghim and Christoph Steup
  • Collective Search in Unknown Dynamic Environments using MAVs
  • 2018 IEEE International Conference on Robotics and Automation, Robot Teammates Operating in Dynamic, Unstructured Environments (RT-DUNE) Workshop, Brisbane, May, 2018

 

  • T. T. Nguyen, J. Spehr, J. Sitzmann, S. Zug, and R. Kruse
  • Zuverlassigkeitsschatzung und zuverlassigkeitsbasierte Fusion von Ego-Fahrstreifen fur automatisch Fahrfunktionen.
  •  In ITS mobility e.V., editor, AAET - Automatisiertes und Vernetztes Fahren, pages 339-355. ITS mobility e.V, Braunschweig, 2018.

 

  • T. T. Nguyen, J. Spehr, D. Vock, M. Baum, S. Zug, and R. Kruse
  • A General Reliability-Aware Fusion Concept Using DST and Supervised Learning with Its Applications in Multi-Source Road Estimation.
  • In 2018 IEEE Intelligent Vehicles Symposium (IV), 2018.

 

  • T. T. Nguyen, J. Spehr, J. Sitzmann, M. Baum, S. Zug, and R. Kruse
  • Improving Ego-Lane Detection by Incorporating Source Reliability.
  • In S. Lee, H. Ko,U. D. Hanebeck, F. Sun, and S. Oh, editors, Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System, volume 501 of Lecture notes in electrical engineering. Springer International Publishing, 2018.

 

  • Johanna Bethge, Bruno Morabito, Christoph Steup, Sanaz Mostaghim and Rolf Findeisen
  • Learning Supported Multi-mode Control for Autonomous Systems with Feasibility Guarantees
  • 2018 IEEE International Conference on Robotics and Automation, Brisbane, May, 2018

 

  • Florian Uhde and Sanaz Mostaghim
  • Towards a General Framework for Artistic Style Transfer
  • In: Liapis A., Romero Cardalda J., Ekárt A. (eds), Evo* Conference, Computational Intelligence in Music, Sound, Art and Design (EvoMUSART), Springer Lecture Notes in Computer Science 10783, April, 2018 --> Link

 

  • Mickaël Binois, Jürgen Branke, Alexander Engau, Carlos M. Fonseca, Salvatore Greco, Miłosz Kadziński, Kathrin Klamroth, Sanaz Mostaghim, Patrick Reed and Roman Słowiński
  • Multi-criteria Decision Making under Performance and Preference Uncertainty
  • Dagstuhl Seminar on Personalized Multiobjective Optimization: An Analytics Perspective, January 2018 --> Download 

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2017

  • Kathrin Klamroth, Sanaz Mostaghim, Boris Naujoks, Silvia Poles, Robin Purshouse, Günter Rudolph, Stefan Ruzika, Serpil Sayin Margaret M. Wiecek and Xin Yao
  • Multiobjective Optimization for Interwoven Systems
  • Journal of Multi-Criteria Decision Analysis, 24 (1-2), pp. 71-81, Wiley, 2017 --> Link

 

  • Palina Bartashevich, Doreen Koerte and Sanaz Mostaghim
  • Energy-Saving Decision Making for Aerial Swarms: PSO-based Navigation in Vector Fields (Download)
  • In the Proceedings of the IEEE Swarm Intelligence Symposium, IEEE SSCI 2017, Pages 1848-1855, November 2017 --> Link

 

  • Heiner Zille and Sanaz Mostaghim
  • Comparison Study of Large-scale Optimisation Techniques on the LSMOP Benchmark Functions (Download) (Sourcecode)
  • IEEE Symposium Series on Computational Intelligence (SSCI), IEEE SSCI 2017, Honolulu, Hawaii, November 2017 --> Link

 

  • Simon Anderer, Bernd Scheuermann, Max Halbich and Sanaz Mostaghim
  • Towards Real-Time Fleet-Event-Handling for the Dynamic Vehicle Routing Problem
  • In the Proceedings of the International Joint Conference on Computational Intelligence (IJCCI), Pages 35-44, Portugal, November, 2017 --> Link

 

  • Xenija Neufeld, Sanaz Mostaghim and Diego Perez
  • HTN Fighter: Planning in a Highly-Dynamic Game
  • IEEE International Computer Science and Electronic Engineering Conference (CEEC), Pages 189 -194, UK, September 2017 (Download) --> Link

 

  • Cristian Ramirez-Atencia, Sanaz Mostaghim and David Camacho 
  • A Knee Point based Evolutionary Multi-objective Optimization for Mission Planning Problems
  • In the Proceedings of ACM Genetic and Evolutionary Computation Conference (GECCO), ACM, Pages 1216 - 1223, July 2017 --> Link

 

  • Palina Bartashevich, Luigi Grimaldi and Sanaz Mostaghim
  • PSO-based Search Mechanism in Dynamic Environments: Swarms in Vector Fields (Download)
  •  In the Proceedings of IEEE Congress on Evolutionary Computation (CEC), Pages 1263 - 1270, IEEE, San Sebastian, Spain, June 2017 --> Link

 

  • Heiner Zille, André Kottenhahn and Sanaz Mostaghim 
  • Dynamic Distance Minimization Problems for dynamic Multi-objective Optimization (Download)
  • In the Proceedings of IEEE Congress on Evolutionary Computation (CEC), Pages 952 - 960, IEEE, San Sebastian, Spain, June 2017 --> Link

 

  • Ruby V. L. Moritz, Heiner Zille, and Sanaz Mostaghim 
  • Elitism and aggregation methods in partial redundant evolutionary swarms solving multi-objective tasks
  • In the Proceedings of IEEE Congress on Evolutionary Computation (CEC), Pages 1467 - 1473, IEEE, San Sebastian, Spain, June 2017 --> Link

 

  • Ruby V. L. Moritz and Sanaz Mostaghim
  • Heterogeneous Evolutionary Swarms with Partial Redundancy Solving Multi-Objective Tasks  
  • In the Proceedings of the 9th International Conference on Evolutionary Multi-Criterion Optimization (EMO), Pages 453-468, March 19-22, 2017 --> Link

 

  • Julian Blank, Kalyanmoy Deb and Sanaz Mostaghim
  • Solving the Bi-Objective Traveling Thief Problem with Multi-Objective Evolutionary Algorithms 
  • In the Proceedings of the 9th International Conference on Evolutionary Multi-Criterion Optimization (EMO), Pages 46-60, March 19-22, 2017  --> Link

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2016

  • Heiko Hamann,Yara Khaluf, Jean Botev, Mohammad Divband-Soorati, Eliseo Ferrante, Oliver Kosak, Jean-Marc Montanier, Sanaz Mostaghim, Richard Redpath, Jonathan Timmis, Frank Veenstra, Mostafa Wahby, Aleš Zamuda
  • Hybrid Societies: Challenges and Perspectives in the Design of Collective Behavior in Self-organizing Systems
  • International Journal on Frontiers in Robotics and AI, Vol. 3, Nr. 14, doi: 10.3389/frobt.2016.00014, ISSN=2296-9144, 2016 -> Link

 

  • Christoph Steup, Sanaz Mostaghim, Lukas Mäurer and Vladimir Velinov
  • Mixed-Reality Simulation Environment for a Swarm of Autonomous Indoor Quadcopters 
  • Rotorcraft Virtual Engineering Conference, Royal Aeronautical Society, Liverpool, November 2016

 

  • Sanaz Mostaghim, Christoph Steup and Fabian Witt
  • Energy Aware Particle Swarm Optimization as Search Mechanism for Aerial Micro-robots 
  • In the Proceedings of the IEEE Swarm Intelligence Symposium, IEEE SSCI 2016, December 2016 --> Link

 

  • Heiner Zille, Hisao Ishibuchi, Sanaz Mostaghim and Yusuke Nojima
  • Mutation Operators Based on Variable Grouping for Multi-objective Large-scale Optimization (Download) (Sourcecode)
  • IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, Athens, Greece, December 2016 --> Link

 

  • Franz Pieper and Sanaz Mostaghim,
  • Influence of Dynamic Environments on Agent Strategies 
  • In the Proceedings of the EEE Computational Intelligence on Intelligent Agents Symposium, IEEE SSCI 2016, December 2016  --> Link

 

  • Heiner Zille, Hisao Ishibuchi, Sanaz Mostaghim and Yusuke Nojima
  • Weighted Optimization Framework for Large-scale Multi-objective Optimization (Download) (Sourcecode)
  • Genetic and Evolutionary Computation Conference (GECCO), ACM, Denver, USA, July 2016 --> Link

 

  • Ruby L. V. Moritz and Sanaz Mostaghim
  • The influence of heredity models on adaptability in evolutionary swarms 
  • Genetic and Evolutionary Computation Conference (GECCO), ACM, Denver, July 2016 --> Link

 

  • Patrick Laack, Heiner Zille and Sanaz Mostaghim
  • Multi-objective Fitness-proportional Attraction Approach with Weights (Download)
  • IEEE Congress on Evolutionary Computation (CEC), IEEE, Vancouver, Canada, July 2016 --> Link

 

  • Diego Perez, Sanaz Mostaghim and Simon Lucas
  • Multi-Objective Tree Search Approaches for General Video Game Playing
  • IEEE Congress on Evolutionary Computation (CEC), IEEE, Vancouver, July 2016 --> Link

 

  • Kei Harada, Misato Tanaka, Satoru Hiwa, Heiner Zille, Sanaz Mostaghim and Tomoyuki Hiroyasu
  • Functional brain network extraction using a genetic algorithm with a kick-out method
  • IEEE Congress on Evolutionary Computation (CEC), IEEE, Vancouver, Canada, July 2016 --> Link

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2015

  • Diego Perez, Sanaz Mostaghim, Spyridon Samothrakis, and Simon Lucas
  • Multi-Objective Monte Carlo Tree Search for Real-Time Games
  • IEEE Transactions on Computational Intelligence and AI in Games, vol.7, no.4, pp.347-360, Dec. 2015  --> Link

 

  • Seyedali Mirjalili, Andrew Lewis and Sanaz Mostaghim
  • Confidence measure - a novel metric for robust meta-heuristic optimisation algorithms
  • Information sciences, Elsevier Science Inc, Vol. 317, pages 114-142, 2015

 

  • Heiner Zille and Sanaz Mostaghim
  • Using ε-Dominance for Hidden and Degenerated Pareto-Fronts (Download)
  • IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, Cape Town, South Africa, December 2015 --> Link

 

  • Xenija Neufeld, Sanaz Mostaghim and Diego Perez
  • Procedural Level Generation with Answer Set Programming for General Video Game Playing
  • IEEE International Computer Science and Electronic Engineering Conference (CEEC), Pages 207-212, UK, September 2015 -> Link

 

  • Jörg Hähner, Uwe Brinkschulte, Paul Lukowicz, Sanaz Mostaghim, Bernhard Sickand Sven Tomforde
  • Runtime Self-Integration as Key Challenge for Mastering Interwoven Systems
  • In Proceedings of the 3rd International Workshop on „Self-optimisation in Organic and Autonomic Computing Systems“ (SAOS15), 2015 --> Link

 

  • Diego Perez, Jens Dieskau, Martin Hünermund and Sanaz Mostaghim, Simon Lucas
  • Open Loop Search for General Video Game Playing
  • In Proceedings of ACM Genetic and Evolutioanry Computation Conference (GECCO 2015), Pages , July 2015 -> Link

 

  • Heiner Zille and Sanaz Mostaghim
  • Properties of Scalable Distance Minimization Problems using the Manhattan Metric (Download)
  • IEEE Congress on Evolutionary Computation (CEC), IEEE, Sendai, Japan, May 2015 --> Link

 

  • Hisao Ishibuchi, Kathrin Klamroth, Sanaz Mostaghim, Boris Naujoks, Silvia Poles, Robin Purshouse, Günter Rudolph and Stefan Ruzika
  • Multiobjective Optimization for Interwoven Systems
  • In Proceedings of Dagstuhl Seminar 15031, Understanding Complexity in Multiobjective Optimization, 2015

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2014 and older

  • Sabrina Merkel, Sanaz Mostaghim and Hartmut Schmeck
  • Self-organized Swarm Display
  • International Journal on Swarm Intelligence, Volume 1, Issue 3, pages 246-260, 2014

 

  • Sabrina Merkel, Sanaz Mostaghim and Hartmut Schmeck
  • Hop Count Based Distance Estimation in Mobile Ad Hoc Networks - Challenges and Consequences
  • Journal of Ad Hoc Networks, 15:3952, 2014

 

  • Britto André, Sanaz Mostaghim, Aurora Pozo
  • Archive Based Multi-Swarm Algorithm for Many-Objective Problems 
  • BRASICS, 2014 -> Link

 

  • R. Purshouse, K. Deb,  M. Mansor, S. Mostaghim and R. Wang
  • A Review of Hybrid Evolutionary Multiple Criteria Decision Making Methods
  • In Proceedings of IEEE Congress on Evolutionary Computation 2014, pages 11471154, Beijing, China, 2014 -> Link

 

  • Sabine Helwig, Jürgen Branke, Sanaz Mostaghim
  • Experimental Analysis of Bound Handling Techniques in Particle Swarm Optimization
  • IEEE Transactions on Evolutionary Computation, 17, (2), pages 259-271, April, 2013 --> Link

 

  • Heiner Zille, Sakito Nunokawa, Sanaz Mostaghim, Mitsunori Miki and Tomoyuki Hiroyasu
  • Comparison Study of MOEAs with High Dimensional Objective and Decision Spaces
  • Japanese Society for Evolutionary Computation Symposium, Kirishima, Japan, December 2013

 

  • Britto André, Sanaz Mostaghim, Aurora Pozo 
  • Iterated Multi-Swarm
  • Genetic and Evolutionary Computation Conference (GECCO 2013), ACM, Amsterdam, July, 2013 -> Link

 

  • Sabrina Merkel, Sanaz Mostaghim, Daniel Blum, Hartmut Schmeck 
  • Distributed Swarm Evacuation Planning
  • In IEEE, Swarm Intelligent Symposium, pages: SSCI, IEEE, Singapore, April, 2013 -> Link

 

  • Gianluigi Foliono, Carlo Mastroianni, Sanaz Mostaghim
  • Editorial: Bio-inspired Distributed Computing
  • Natrual Computing, 2012

 

  • Timo Kautzmann, Marcus Geimer, Micaela Wünsche, Sanaz Mostaghim, Hartmut Schmeck
  • Organic Computing lernt nie aus - Flexibles Gesamtmaschinenmanagement in Traktoren
  • Mobile Maschinen, 4, pages 36 38, 2012

 

  • Juan Luis Jiménez Laredo, Pascal Bouvry, Sanaz Mostaghim, Juan Julián Merelo Guervós 
  • Validating a Peer-to-Peer Evolutionary Algorithm
  • International Conference on Evo-* (Evo-par), pages: 23-33, Springer, April, 2012

 

  • Sabrina Merkel, Sanaz Mostaghim, Hartmut Schmeck 
  • Distributed Geometric Distance Estimation in Ad Hoc Networks 
  • In Xiang-Yang Li, Symeon Papavassiliou, and Stefan Ruehrup, Ad-hoc, Mobile, and Wireless Networks, ch. 3, pages 28-41, Springer, Lecture Notes in Computer Science, Vol. 7363, Berlin Heidelberg, July, 2012 

 

  • Timo Kautzmann, Marcus Geimer, Micaela Wünsche, Sanaz Mostaghim, Hartmut Schmeck 
  • Flexibles Management für Traktoren
  • 70. Internationale Tagung "Land.Technik": Mit Erfahrung und Innovationskraft zu mehr Effizienz, pages: 69-74, Land.Technik, November, 2012

 

  • Sabrina Merkel, Sanaz Mostaghim, Hartmut Schmeck 
  • A Study of Mobility in Ad Hoc Networks and Its Effects on a Hop Count Based Distance Estimation
  • International Conference on New Technologies, Mobility and Security (NTMS), pages: 1-5, IEEE Xplore®, May, 2012 -> Link

 

  • Aldeida Aleti, Irene Moser, Sanaz Mostaghim 
  • Adaptive Range Parameter Control
  • IEEE World Congress on Computational Intelligence, pages: 1767 1774, IEEE, June, 2012 -> Link
  • Sanaz Mostaghim, Friederike Pfeiffer, Hartmut Schmeck 
  • Self-organized Invasive Parallel Optimization with Self-repairing Mechanism
  • Parallel-Algorithmen, -Rechnerstrukturen und -Systemsoftware (28. PARS Workshop), pages: 90 - 99, GI-ITG, October, 2011

 

  • Sanaz Mostaghim, Friederike Pfeiffer, Hartmut Schmeck 
  • Self-organized Invasive Parallel Optimization
  • Proceedings of the International Workshop on Bio-inspired Approaches for Distributed Computing (BADS), pages: 49-56, ACM, Karlsruhe, June, 2011

 

  • Lukas König, Sanaz Mostaghim, Hartmut Schmeck 
  • A Markov-Chain-Based Model for Success Prediction of Evolution in Complex Environments
  • Proceedings of the 3rd International Joint Conference on Computational Intelligence, pages: 90-102, IEEE Computer Society, October, 2011

 

  • Timo Kautzmann, Micaela Wünsche, Sanaz Mostaghim, Marcus Geimer, Hartmut Schmeck
  • Selbstadaptierendes und lernfähiges Management für mobile Arbeitsmaschinen
  • Landtechnik Agricultural Engineering (Schwerpunkt Informationstechnologie), 4/2010, pages 110 - 113, July, 2010

 

  • Jan Hettenhausen, Andrew Lewis, Sanaz Mostaghim
  • Interactive Multi-Objective Particle Swarm Optimisation with Heatmap Visualisation based User Interface.
  • Journal of Engineering Optimization, 42, (2), pages 119-139, February, 2010

 

  • Micaela Wünsche, Sanaz Mostaghim, Hartmut Schmeck, Timo Kautzmann, Marcus Geimer 
  • Organic Computing in Off-highway Machines
  • In Proceedings of the 2nd International Workshop on Self-Organizing Architectures (SOAR '10), pages: 51-58, ACM, June, 2010

 

  • Timo Kautzmann, Micaela Wünsche, Sanaz Mostaghim, Marcus Geimer, Hartmut Schmeck 
  • Self-Optimizing Architecture in Mobile Machines
  • Proceedings of the 6th FPNI-PhD Symposium, pages: 479 - 488, FPNI, June, 2010

 

  • Timo Kautzmann, Micaela Wünsche, Sanaz Mostaghim, Marcus Geimer, Hartmut Schmeck 
  • Simulationsmodell zur Unterstützung von selbstoptimierenden Fähigkeiten eines Traktors
  • LAND.TECHNIK, pages: 187 - 195, VDI-MEG, October, 2010

 

  • Irene Moser, Sanaz Mostaghim 
  • The Automative Deployment Problem: A practical application for constrained multi-objective evolutionaryoptimisation
  • International Congress on Evolutionary Computation (CEC), pages: 4272-4279, IEEE Computer Society, July, 2010 -> Link

 

  • Timo Kautzmann, Micaela Wünsche, Sanaz Mostaghim, Marcus Geimer, Hartmut Schmeck 
  • Self-optimizing Machine Management
  • Proceedings of the 2nd International Conference on Machine Control & Guidance, pages: 107 - 115, VDI, Bonn, March, 2010

 

  • Sanaz Mostaghim, Heike Trautmann, Olaf Mersmann 
  • Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities
  • Parallel Problem Solving from Nature (PPSN), pages: 101-110, Springer, Berlin Heidelberg, September, 2010
  • Lukas König, Sanaz Mostaghim, Hartmut Schmeck
  • Decentralized Evolution of Robotic Behavior Using Finite State Machines
  • International Journal of Intelligent Computing and Cybernetics, 2, (4), pages 695-723, December, 2009

 

  • Ian Scriven, Andrew Lewis, Sanaz Mostaghim 
  • Dynamic Search Initialisation Strategies for Multi-Objective Optimisation in Peer-to-Peer Networks
  • Proceedings of the Congress on Evolutionary Computation (CEC'09), pages: 1515-1522, IEEE, Trondheim, Norway, May, 2009 -> Link

 

  • Sanaz Mostaghim, Hartmut Schmeck 
  • Self-organized Parallel Cooperation for Solving Optimization Problems
  • In Mladen Berekovic, Christian Müller Schloer, Christian Hochberger, Stephan Wong, 22nd International Conference on Architecture of Computing Systems, pages: 135-145, Springer, Lecture Notes in Computer Science, 5455, Berlin, Heidelberg, March, 2009

 

 

  • Lukas König, Sanaz Mostaghim, Hartmut Schmeck 
  • Online and Onboard Evolution of Robotic Behavior Using Finite State Machines
  • In Decker, Sichman, Sierra and Castelfranchi, Proceedings of the 8th International Conference on Autonomous Agents AndMultiagent Systems (AAMAS 2009), pages: 1325-1326, ACM, Budapest, Hungary, May, 2009

 

  • Nikhil Padhye, Jürgen Branke, Sanaz Mostaghim 
  • Empirical Comparison of MOPSO methods 
  • Proceedings of the Congress on Evolutionary Computation (CEC'09), pages: 2516-2523, IEEE, Trondheim, Norway, May, 2009 -> Link

 

  • Oliver Schütze, Carlos Coello Coello, Sanaz Mostaghim, El-Ghazali Talbi, Michael Dellnitz
  • Hybridizing Evolutionary Strategies with Continuation Methods for Solving Multi-Objective Problems
  • Journal of Engineering Optimization, 40, (5), pages 383-402, May, 2008

 

  • Peter Bungert, Sanaz Mostaghim, Hartmut Schmeck, Jürgen Branke 
  • Design of gate array circuits using evolutionary algorithms
  • International Conference on Architecture of Computing Systems, pages: 38-50, Springer, LNCS, 4934, 2008

 

  • Ian Scriven, David Ireland, Andrew Lewis, Sanaz Mostaghim, Jürgen Branke 
  • Asynchronous multiple objective particle swarm optimization in unreliable distributed environments
  • IEEE, pages: 2486-2491, Congress on Evolutionary Computation, 2008 -> Link

 

  • Sanaz Mostaghim, Hartmut Schmeck 
  • Distance Based Ranking in Many-Objective Particle Swarm Optimization
  • In G. Rudolph, T. Jansen, S. Lucas, C. Poloni and N. Beume, Parallel Problem Solving from Nature (PPSN), pages: 753-762, Springer-Verlag, LNCS 5199, September, 2008

 

  • Sanaz Mostaghim, Jürgen Branke, Andrew Lewis, Hartmut Schmeck 
  • Parallel multi-objective optimization using a master-slave model on heterogeneous resources
  • IEEE, pages: 1981-1987, Congress on Evolutionary Computation, June, 2008 -> Link

 

  • Sanaz Mostaghim 
  • High Performance Multi-Objective Optimization
  • International Conference on Soft Computing and Intelligent Systems, pages: 1501-1511, Nagoya, Japan, September, 2008

 

  • Andy Pryke, Sanaz Mostaghim, Ali Reza Nazemi 
  • Heatmap Visualisation of Population Based Multi Objective Algorithms
  • In S. Obayashi et al., Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, Proceedings, pages: 361-375, Springer, LNCS, 4403, 2007

 

  • Sanaz Mostaghim, Jürgen Branke, Hartmut Schmeck 
  • Multi-Objective Particle Swarm Optimization on Computer Grids
  • In D. Thierens et al., Proceedings of the 2007 Genetic and Evolutionary Computation Conference, pages: 869-874, ACM, 2007

 

  • Marco Laumanns, Sanaz Mostaghim, Günter Rudolph, Jürgen Teich
  • Editorial: Evolutionary Multiobjective Optimization
  • International Journal of Computational Intelligence Research (IJCIR), 2, (3), pages I-III, 2006

 

  • Sanaz Mostaghim, Werner E. Halter 
  • Bilevel Optimization of Multi-Component Silicate melts using Particle Swarm Optimization
  • In Fogel, D. B., IEEE Congress on Evolutionary Computation, 2006. CEC 2006., pages: 4383-4390, IEEE Press, IEEE International Conference of World Computational Intelligence, IEEE International Conference of World Computational Intelligence, July, 2006 -> Link

 

  • Jürgen Branke, Sanaz Mostaghim 
  • About selecting the personal best in multi-objective particle swarm optimization
  • Parallel Problem Solving from Nature (PPSN), pages: 523-532, Springer Berlin, LNCS, 4193, Reykjavik, Island, 2006

 

  • David Ireland, Andrew Lewis, Sanaz Mostaghim, J. Lu 
  • Hybrid Particle Guide Selection Methods in Multi-Objective Particle Swarm Optimization
  • eSceience Conference, pages: auf CD erschienen, IEEE Computer Society Washington, DC, USA, December, 2006 -> Link

 

  • Sanaz Mostaghim, Jürgen Teich 
  • A New Approach on Many Objective Diversity Measure
  • the Proceedings of the Dagstuhl Seminar 04461, 2005

 

  • Sanaz Mostaghim, Jürgen Teich 
  • Covering Pareto-optimal Fronts by Subswarms in Multi-objective Particle Swarm Optimization.
  • the Proceedings of the Congress on Evolutionary Computation (CEC'04), 2004 -> Link

 

  • Sanaz Mostaghim, Michael Hoffmann, Peter König, Thomas Frauenheim, Jürgen Teich 
  • Molecular Force filed parameterization Using Multi-Objective Evolutionary Algorithms
  • In the Proceedings of the Congress on Evolutionary Computation (CEC'04), 2004 -> Link

 

  • Sanaz Mostaghim, Jürgen Teich 
  • Strategies for finding good local guides in multi-objective particle swarm optimization
  • the Proceedings of IEEE Swarm Intelligence Symposium, Indianapolis, USA, April, 2003 -> Link

 

  • Sanaz Mostaghim, Jürgen Teich 
  • The Role of e-dominance in Multi-objective Particle Swarm Optimization Methods
  • the Proceedings of the 2003 Congress on Evolutionary Computation, 2003 -> Link

 

  • Oliver Schütze, Sanaz Mostaghim, Michael Dellnitz, Jürgen Teich 
  • Covering Pareto Sets by Multilevel Evolutionary Subdivision Techniques
  • In Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb, and Lothar Thiele, Evolutionary Multi-Criterion Optimization, Springer Verlag, Lecture Notes in Computer Science, EMO, 2003

 

  • Christian Haubelt, Sanaz Mostaghim, Jürgen Teich, Ambrish Tyagi 
  • Solving Hierarchical Optimization Problems Using MOEAs
  • In Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb, and Lothar Thiele, Evolutionary Multi-Criterion Optimization, Springer Verlag, Lecture Notes in Computer Science, EMO, 2003

 

  • Sanaz Mostaghim, Ambrish Tyagi, Jürgen Teich 
  • Comparison of Data Structures for Storing Pareto-sets in MOEAs
  • the Proceedings of the World Congress on Computational Intelligence (CEC02), Hawaii, USA, May, 2002 -> Link

 

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Books and Editorials

 

 

  • Kalyanmoy Deb, Erik Goodman, Carlos Coello Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, and Patrick Reed (Editors)
  • Evolutionary Multi-Criterion Optimization --> Link
  • Proceedings of 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, Springer, 2019

 

  • Sanaz Mostaghim, Andreas Nürnberger and Christian Borgelt (Editors)
  • Frontiers in Computational Intelligence --> Link
  • Studies in Computational Intelligence, Springer, 2017

 

  • Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim and Matthias Steinbrecher
  • Computational Intelligence - A Methodological Introduction --> Link
  • ISBN 978-1-4471-7294-9, pp. 1-551
  • Second Edition. Texts in Computer Science, Springer, 2016

 

  • Andrew Lewis, Sanaz Mostaghim, Marcus Randall
  • Biologically-inspired Optimisation Methods: Parallel Algorithms, Systems and Applications
  • Studies in Computational Intelligence, Springer, 2009

 

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Book Chapters

 

  • T. T. Nguyen, J.-O. Perschewski, F. Engel, J. Kruesemann, J. Sitzmann, J.Spehr, S. Zug, and R. Kruse
  • Reliability-Aware and Robust Multi-Sensor Fusion Towards Ego-Lane Estimation Using Artifcial Neural Networks
  • In Eloi Bosse and Galina Rogova, editors, Information quality in Information Fusion and decision making. Springer Nature, 2018.

 

  • F. Schmidt, J. Gebhardt, R. Kruse
  • Decomposable Graphical Models on Learning, Fusion and Revision
  • In: L.Zadeh, R. Yager, et. al, Recent Developments and the New Direction in Soft-Computing Foundations and Applications, Springer, pp 439-452, 2018.

 

  • Sanaz Mostaghim, Hartmut Schmeck, Micaela Wünsche, Marcus Geimer, Timo Kautzmann 
  • Organic Computing in Off-highway Machines
  • In Christian Müller-Schloer, Hartmut Schmeck, Theo Ungerer, Organic Computing A Paradigm Shift for Complex Systems, pages 601-604, Springer, Vol. 1, 2011

 

  • Sanaz Mostaghim 
  • Parallel Multi-Objective Optimization using Self-Organized Heterogeneous Resources
  • In Erick Cantu Paz and Francisco Fernández de Vega, Parallel and Distributed Computational Intelligence, pages 165-179, Springer-Verlag, Studies in Computational Intelligence, Berlin Heidelberg, January, 2010

 

  • Markus Kress, Sanaz Mostaghim, Detlef Seese 
  • Intelligent Business Process Execution using Particle Swarm Optimization
  • In Raymond Chiong, Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science, and Engineering, ch. 3, pages 49-66, IGI Global, Hershey, PA, USA, July, 2009

 

  • Andrew Lewis, Sanaz Mostaghim, Ian Scriven 
  • Asynchronous Multi-Objective Optimisation in Unreliable Distributed Environments
  • In A. Lewis, S. Mostaghim, M. Randall, Biologically-inspired Optimisation Methods: Parallel Algorithms, Systems and Applications, pages 51-78, Springer, Studies in Computational Intelligence, Berlin, Heidelberg, June, 2009

 

  • Andrew Lewis, Sanaz Mostaghim, Marcus Randal 
  • Evolutionary Population Dynamics and Multi-Objective Optimisation Problems
  • In Lam Bui and Sameer Alam, Multi-Objective Optimization in Computational Intelligence: Theory and Practice, Idea Group Publishing, 2008

 

  • El-Ghazali Talbi, Sanaz Mostaghim, Tatsuya Okabe, Hisao Ishibuchi, Günter Rudolph, Carlos Coello Coello 
  • Parallel Approaches for Multi-Objective Optimization
  • In J. Branke, K. deb, K. Miettinen and R. Slowinski, MultiObjective Optimization: Interactive and Evolutionary Approaches, pages 329--348, Springer-Verlag, LNCS 5252, Berlin Heidelberg, 2008

 

  • Sanaz Mostaghim, Werner E. Halter, Anja Wille 
  • Linear Multi-Objective Particle Swarm Optimization
  • In Abraham, A.; Grosan, C.; Ramos, V., Stigmergy optimization, pages 209-237, Springer Verlag, Computational Science, Vol. 31, July, 2006

 

  • Sanaz Mostaghim, Jürgen Teich 
  • Quad-trees: A Data structure for storing Pareto-sets in Multi-objective Evolutionary Algorithms with Elitism
  • Evolutionary Computation Based Multi-Criteria Optimization: Theoretical Advances and Applications, Springer Verlag, 2005

 

  • Christian Haubelt, Sanaz Mostaghim, Frank Slomka, Jürgen Teich, Ambrish Tyagi 
  • Hierarchical Synthesis of Embedded Systems Using Evolutionary Algorithms
  • Evolutionary Algorithms for System Design, Kluwer Academics Publishers, 2002

 

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Technical Reports

 

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Misc and unpublished

  • Sanaz Mostaghim 
  • Vertrauen in der Wissenschaft
  • Abschlussarbeit. Kontaktstudium Für Führungskräfte, July, 2012

 

  • Sanaz Mostaghim, Werner E. Halter, Anja Wille 
  • Linearly constrained Multi-Objective Optimization using Particle Swarm Optimization
  • December, 2006

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