# Benchmarking HillVallEA for the GECCO 2019 Competition on Multimodal Optimization

arXiv: https://arxiv.org/abs/1907.10988 · HTML: https://mlsanity.com/paper/1907.10988/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 25 Jul 2019.

## Built on by (most cited first, 3 of 3)

- [Multimodal Optimization with k-Cluster Big Bang-Big Crunch Algorithm and Postprocessing Methods for Identification and Quantification of Optima](https://mlsanity.com/paper/2401.06153/) (2023)
- [Illuminating the Diversity-Fitness Trade-Off in Black-Box Optimization](https://mlsanity.com/paper/2408.16393/) (2024)
- [Multiple Global Peaks Big Bang-Big Crunch Algorithm for Multimodal Optimization](https://mlsanity.com/paper/2410.18102/) (2024)

## Abstract (arXiv)

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.