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Authors: Jana Herzog ; Janez Brest and Borko Bošković

Affiliation: Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška cesta 46, Maribor, Slovenia

Keyword(s): Evolutionary Algorithms, Fixed-Budget Approach, Stopping Conditions.

Abstract: This paper focuses on the comparison of the state-of-the-art algorithms and the influence of a stopping condition, the maximum number of function evaluations, on the optimization process. The main aim is to compare the chosen state-of-the-art algorithms with different predetermined stopping conditions and observe if they are comparable in reaching a certain quality of solution on a given set of benchmark functions. For this analysis, the four most recent state-of-the-art evolutionary algorithms were chosen for comparison on the latest set of benchmark functions. We utilized a fixed-budget approach with different values of stopping conditions. Small differences in the algorithms’ performances are observed and the obtained results are also statistically analyzed. Different values of the stopping conditions show different rankings of evolutionary algorithms without the significant difference. The possible reason for this is that their performances are very close.

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Paper citation in several formats:
Herzog, J.; Brest, J. and Bošković, B. (2023). A Comparison of the State-of-the-Art Evolutionary Algorithms with Different Stopping Conditions. In Proceedings of the 15th International Joint Conference on Computational Intelligence - ECTA; ISBN 978-989-758-674-3; ISSN 2184-3236, SciTePress, pages 222-229. DOI: 10.5220/0012182200003595

@conference{ecta23,
author={Jana Herzog. and Janez Brest. and Borko Bošković.},
title={A Comparison of the State-of-the-Art Evolutionary Algorithms with Different Stopping Conditions},
booktitle={Proceedings of the 15th International Joint Conference on Computational Intelligence - ECTA},
year={2023},
pages={222-229},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012182200003595},
isbn={978-989-758-674-3},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computational Intelligence - ECTA
TI - A Comparison of the State-of-the-Art Evolutionary Algorithms with Different Stopping Conditions
SN - 978-989-758-674-3
IS - 2184-3236
AU - Herzog, J.
AU - Brest, J.
AU - Bošković, B.
PY - 2023
SP - 222
EP - 229
DO - 10.5220/0012182200003595
PB - SciTePress

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