Publications

 

 sourceCode

 

 

Books

 

  • 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

 

Journal Papers

 

  • Sanaz Mostaghim, Christoph Steup and Heiner Zille
  • Multi-Objective Distance Minimization Problems and its Application in Technical Systems
  • Accepted at the Journal on "at - Automatisierungstechnik", 2018 

 

  • 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 Computational Intelligence and AI in Games, to appear in 2018 (Download--> 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

 

  • 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

 

  • 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

 

  • 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

 

  • 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, 15:39–52, 2014

 

  • 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

 

  • 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

 

  • 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

 

  • 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

 

  • 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

 

  • 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

 

 Top

 

Reviewed Conference Papers

 

  • Lukas Hoyer, Christoph Steup and Sanaz Mostaghim
  • A Robot Localization Framework Using CNNs for Object Detection and Pose Estimation
  • Accepted at the IEEE Symposium Series on Computational Intelligence (SSCI), IEEE SSCI 2018, India, November 2018

 

  • Jens Weise, Steven Benkhardt and Sanaz Mostaghim
  • A Survey on Graph-based Systems in Manufacturing Processes
  • Accepted at the IEEE Symposium Series on Computational Intelligence (SSCI), IEEE SSCI 2018, India, November 2018

 

  • Sebastian Mai, Christoph Steup and Sanaz Mostaghim
  • Simultaneous Localisation and Optimisation for Swarm Robotics
  • Accepted at the IEEE Symposium Series on Computational Intelligence (SSCI), IEEE SSCI 2018, India, November 2018

 

  • Asema Hassan and Sanaz Mostaghim
  • Understanding Collective Decision-Making in Natural Swarms
  • Accepted at the IEEE Symposium Series on Computational Intelligence (SSCI), IEEE SSCI 2018, 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
  • Accepted at the 31st Australasian Joint Conference on Artificial Intelligence, Wellington, New Zealand, December 2018

 

  • Xenija Neufeld, Sandy Brand and Sanaz Mostaghim
  • A Hybrid Approach to Planning and Execution in Dynamic Environments Through Hierarchical Task Networks and Behavior Trees
  • Accepted at the 14th 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
  • Accepted at the 11th International Conference on Swarm Intelligence (ANTS 2018), Rome, Italy, October 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
  • Accepted at the 11th International Conference on Swarm Intelligence (ANTS 2018), Rome, Italy, October 2018

 

  • Palina Bartashevich, Illya Bakurov, Sanaz Mostaghim, and Leonardo Vanneschi
  • PSO-based Search Rules for Aerial Swarms Against Unexplored Vector Fields via Genetic Programming
  • Accepted at the 15th International Conference on Parallel Problem Solving from Nature (PPSN XV), Portugal, September 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 

 

  • 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

 

  • 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)
  • 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

 

  • 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

 

  • 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 1147–1154, Beijing, China, 2014 -> 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

 

  • 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

 

  • 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

 

  • 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

 

  • 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

 

  • 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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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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