| A framework for large-scale multiobjective optimization based on problem transformation H Zille, H Ishibuchi, S Mostaghim, Y Nojima IEEE Transactions on Evolutionary Computation 22 (2), 260-275, 2017 | 295 | 2017 |
| Mutation operators based on variable grouping for multi-objective large-scale optimization H Zille, H Ishibuchi, S Mostaghim, Y Nojima 2016 IEEE symposium series on computational intelligence (SSCI), 1-8, 2016 | 42 | 2016 |
| Weighted optimization framework for large-scale multi-objective optimization H Zille, H Ishibuchi, S Mostaghim, Y Nojima Proceedings of the 2016 on genetic and evolutionary computation conference …, 2016 | 42 | 2016 |
| On the scalable multi-objective multi-agent pathfinding problem J Weise, S Mai, H Zille, S Mostaghim 2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020 | 34 | 2020 |
| Comparison study of large-scale optimisation techniques on the LSMOP benchmark functions H Zille, S Mostaghim 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 34 | 2017 |
| Large-scale multi-objective optimisation: new approaches and a classification of the state-of-the-art H Zille Ph. D. dissertation, 2019 | 30 | 2019 |
| Linear search mechanism for multi-and many-objective optimisation H Zille, S Mostaghim Evolutionary Multi-Criterion Optimization: 10th International Conference …, 2019 | 28 | 2019 |
| Transfer strategies from single-to multi-objective grouping mechanisms F Sander, H Zille, S Mostaghim Proceedings of the Genetic and Evolutionary Computation Conference, 729-736, 2018 | 24 | 2018 |
| Modified crowding distance and mutation for multimodal multi-objective optimization M Javadi, H Zille, S Mostaghim Proceedings of the genetic and evolutionary computation conference companion …, 2019 | 19 | 2019 |
| Properties of scalable distance minimization problems using the Manhattan metric H Zille, S Mostaghim 2015 IEEE Congress on Evolutionary Computation (CEC), 2875-2882, 2015 | 16 | 2015 |
| Dynamic distance minimization problems for dynamic multi-objective optimization H Zille, A Kottenhahn, S Mostaghim 2017 IEEE Congress on Evolutionary Computation (CEC), 952-959, 2017 | 14 | 2017 |
| The effects of Crowding Distance and Mutation in Multimodal and Multi-objective Optimization Problems M Javadi, H Zille, S Mostaghim International Conference on Evolutionary and Deterministic Methods for …, 2019 | 10 | 2019 |
| Clarifying assumptions about artificial intelligence before revolutionising patent law D Kim, M Alber, MW Kwok, J MitroviĆ, C Ramirez-Atencia, JÚARÍ PÉrez, ... GRUR International 71 (4), 295-321, 2022 | 8 | 2022 |
| Assessment of Multi-Objective and Coevolutionary Genetic Programming for predicting the Stokes Flow around a Sphere H Zille, F Evrard, J Reuter, S Mostaghim, B van Wachem 14th International Conference on Evolutionary and Deterministic Methods for …, 2021 | 8 | 2021 |
| Multi-objective collective search and movement-based metrics in swarm robotics S Mai, H Zille, C Steup, S Mostaghim Proceedings of the genetic and evolutionary computation conference companion …, 2019 | 8 | 2019 |
| Evolutionary Algorithm for Parameter Optimization of Context-Steering Agents A Dockhorn, M Kirst, S Mostaghim, M Wieczorek, H Zille IEEE Transactions on Games 15 (1), 26-35, 2022 | 5 | 2022 |
| Using ε-Dominance for Hidden and Degenerated Pareto-Fronts H Zille, S Mostaghim 2015 IEEE Symposium Series on Computational Intelligence, 845-852, 2015 | 5 | 2015 |
| Ten Assumptions About Artificial Intelligence That Can Mislead Patent Law Analysis D Kim, M Alber, MW Kwok, J Mitrovic, C Ramirez-Atencia, ... Max Planck Institute for Innovation & Competition Research Paper, 2021 | 4 | 2021 |
| Multi-objective distance minimization problems–applications in technical systems S Mostaghim, C Steup, H Zille at-Automatisierungstechnik 66 (11), 964-974, 2018 | 4 | 2018 |
| A comparative study of different encodings on the multi-objective pathfinding problem J Weise, H Zille, S Mostaghim 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2021 | 3 | 2021 |
Sanaz MostaghimOtto-von-Guericke Universität Magdeburg and Fraunhofer IVI DresdenE-mailová adresa ověřena na: ovgu.de
