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The Ethereal
Benchmarking the Hill-Valley Evolutionary Algorithm for the GECCO 2018 Competition on Niching Methods Multimodal Optimization
June 30, 2018 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
S. C. Maree, T. Alderliesten, D. Thierens, P. A. N. Bosman
arXiv ID
1807.00188
Category
cs.NE: Neural & Evolutionary
Citations
4
Venue
arXiv.org
Last Checked
4 months ago
Abstract
This report presents benchmarking results of the latest version of the Hill-Valley Evolutionary Algorithm (HillVallEA) on the CEC2013 niching benchmark suite. The benchmarking follows restrictions required by the GECCO 2018 competition on Niching methods for Multimodal Optimization. In particular, no problem dependent parameter tuning is performed. A number of adjustments have been made to original publication of HillVallEA that are discussed in this report.
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