1 code implementation • 28 Oct 2020 • S. C. Maree, T. Alderliesten, P. A. N. Bosman
This can be used to adapt the search distribution of an EA to the number of modes, exploring each mode separately.
no code implementations • 11 Jun 2020 • S. C. Maree, T. Alderliesten, P. A. N. Bosman
We analyze the behavior of BezEA and compare it to optimization of the UHV with GOMEA as well as the domination-based multi-objective GOMEA.
2 code implementations • 10 Apr 2020 • S. C. Maree, T. Alderliesten, P. A. N. Bosman
The resulting algorithm, UHV-GOMEA, is compared to Sofomore equipped with GOMEA, and the domination-based MO-GOMEA.
1 code implementation • 25 Jul 2019 • S. C. Maree, T. Alderliesten, P. A. N. Bosman
This report presents benchmarking results of the Hill-Valley Evolutionary Algorithm version 2019 (HillVallEA19) on the CEC2013 niching benchmark suite under the restrictions of the GECCO 2019 niching competition on multimodal optimization.
no code implementations • 16 Oct 2018 • S. C. Maree, T. Alderliesten, D. Thierens, P. A. N. Bosman
The performance of EAs often deteriorates as multiple modes in the fitness landscape are modelled with a unimodal search model.
1 code implementation • 30 Jun 2018 • S. C. Maree, T. Alderliesten, D. Thierens, P. A. N. Bosman
This report presents benchmarking results of the latest version of the Hill-Valley Evolutionary Algorithm (HillVallEA) on the CEC2013 niching benchmark suite.