Computational Intelligence

Publications

Daria Kim, Maximilian Alber, Man Wai Kwok, Jelena Mitrovic, Cristian Ramirez-Atencia, Jesus Rodriguez Perez and Heiner Zille
Ten Assumptions About Artificial Intelligence That Can Mislead Patent Law Analysis
Accepted for Publication in GRUR International. To be published in 2021. (Earlier Version available at Max Planck Institute for Innovation & Competition Research Paper No. 21-18)

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

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)
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)
Proceedings of the 14th International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control (EUROGEN 2021), ECCOMAS, Athens, Greece, June 2021

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 --> 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

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

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

Sebastian Mai, Heiner Zille, Christoph Steup and Sanaz Mostaghim
Multi-Objective Collective Search and Movement-based Metrics in Swarm Robotics
ACM Genetic and Evolutionary Computation Conference (GECCO) Companion, Pages 387-388, ACM, Prague, Czech Republic, July 2019 --> Link

Mahrokh Javadi, Heiner Zille and Sanaz Mostaghim
Modified Crowding Distance and Mutation for Multimodal Multi-Objective Optimization
ACM Genetic and Evolutionary Computation Conference (GECCO) Companion, Pages 211-212, ACM, Prague, Czech Republic, July 2019 --> Link

Marde Helbig, Heiner Zille, Mahrokh Javadi and Sanaz Mostaghim
Performance of Dynamic Algorithms on the Dynamic Distance Minimization Problem
ACM Genetic and Evolutionary Computation Conference (GECCO) Companion, Pages 205-206, ACM, Prague, Czech Republic, July 2019 --> Link

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

Frederick Sander, Heiner Zille and Sanaz Mostaghim
Transfer Strategies from Single- to Multi-objective Grouping Mechanism (Download) (Supplement Material) (Sourcecode)
ACM Genetic and Evolutionary Computation Conference (GECCO), Pages 729-736, ACM, Kyoto, July 2018 --> 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, Honolulu, Hawaii, November 2017 --> Link

Dynamic Distance Minimization Problems for dynamic Multi-objective Optimization (Download)
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
IEEE Congress on Evolutionary Computation (CEC), Pages 1467 - 1473, IEEE, San Sebastian, Spain, June 2017 --> 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

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

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

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

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

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

Heiner Zille
Large-scale Multi-objective Optimisation: New Approaches and a Classification of the State-of-the-Art (Link) (Download)
PhD Thesis, Otto von Guericke University Magdeburg, 2019

Heiner Zille
Cooperative Coevolution for large-scale multiobjective Distance Minimization Problems
Master Thesis, Karlsruhe Institute of Technology (KIT), 2014