research
∙
10/28/2020
Real-valued Evolutionary Multi-modal Multi-objective Optimization by Hill-Valley Clustering
In model-based evolutionary algorithms (EAs), the underlying search dist...
share
research
∙
06/11/2020
Ensuring smoothly navigable approximation sets by Bezier curve parameterizations in evolutionary bi-objective optimization – applied to brachytherapy treatment planning for p
The aim of bi-objective optimization is to obtain an approximation set o...
research
∙
04/10/2020
Uncrowded Hypervolume-based Multi-objective Optimization with Gene-pool Optimal Mixing
Domination-based multi-objective (MO) evolutionary algorithms (EAs) are ...
research
∙
07/25/2019
Benchmarking HillVallEA for the GECCO 2019 Competition on Multimodal Optimization
This report presents benchmarking results of the Hill-Valley Evolutionar...
research
∙
10/16/2018
Real-Valued Evolutionary Multi-Modal Optimization driven by Hill-Valley Clustering
Model-based evolutionary algorithms (EAs) adapt an underlying search mod...
research
∙
06/30/2018