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Title: | Exploring the frequency of boundary control methods activation in metaheuristic algorithms |
Author: | Kadavý, Tomáš; Pluháček, Michal; Viktorin, Adam; Šenkeřík, Roman |
Document type: | Conference paper (English) |
Source document: | GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion. 2023, p. 2330-2336 |
ISBN: | 979-840070120-7 |
DOI: | https://doi.org/10.1145/3583133.3596418 |
Abstract: | Recently, Boundary Control Methods (BCMs) have become increasingly relevant in the field of metaheuristic algorithms. In this study, we investigate the relationship between the activation frequency of different BCMs and the problem’s dimensionality. Additionally, we analyze each problem dimension independently. Our research primarily concentrates on the top three algorithms from the IEEE CEC 2020 competition: AGSK, IMODE, and j2020, utilizing the competition benchmark set to conduct experiments. Our findings provide valuable insights into the metaheuristic domain, underlining the significance of comprehending BCM activation patterns to improve algorithm design and benchmarking practices. |
Full text: | https://dl.acm.org/doi/10.1145/3583133.3596418 |
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