Benchmarking HillVallEA for the GECCO 2019 Competition on Multimodal Optimization
Neural and Evolutionary Computing
2019-07-26 v1
Abstract
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.
Cite
@article{arxiv.1907.10988,
title = {Benchmarking HillVallEA for the GECCO 2019 Competition on Multimodal Optimization},
author = {S. C. Maree and T. Alderliesten and P. A. N. Bosman},
journal= {arXiv preprint arXiv:1907.10988},
year = {2019}
}
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