NEJul 25, 2019
Benchmarking HillVallEA for the GECCO 2019 Competition on Multimodal Optimization
arXiv:1907.10988v110 citations
Originality Synthesis-oriented
AI Analysis
This is an incremental benchmarking study for researchers in evolutionary computation and multimodal optimization.
The paper benchmarks HillVallEA19 on the CEC2013 niching benchmark suite under GECCO 2019 competition rules, comparing its performance to previous competition algorithms.
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. Performance is compared to algorithms that participated in previous editions of the niching competition.