Substitution of the Fittest: A Novel Approach for Mitigating Disengagement in Coevolutionary Genetic Algorithms

Hugo Alcaraz-Herrera; John Cartlidge

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Paper

Substitution of the Fittest: A Novel Approach for Mitigating Disengagement in Coevolutionary Genetic Algorithms

Topics: Co-Evolution and Collective Behavior; Genetic Algorithms

In Proceedings of the 13th International Joint Conference on Computational Intelligence - Volume 0IJCCI, 59-67, 2021

Authors: Hugo Alcaraz-Herrera and John Cartlidge

Affiliation: University of Bristol, Bristol, U.K.

Keyword(s): Coevolution, Disengagement, Genetic Algorithms.

Abstract: We propose substitution of the fittest (SF), a novel technique designed to counteract the problem of disengagement in two-population competitive coevolutionary genetic algorithms. The approach presented is domain-independent and requires no calibration. In a minimal domain, we perform a controlled evaluation of the ability to maintain engagement and the capacity to discover optimal solutions. Results demonstrate that the solution discovery performance of SF is comparable with other techniques in the literature, while SF also offers benefits including a greater ability to maintain engagement and a much simpler mechanism.

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Paper citation in several formats:

Alcaraz-Herrera, H. and Cartlidge, J. (2021). Substitution of the Fittest: A Novel Approach for Mitigating Disengagement in Coevolutionary Genetic Algorithms. In Proceedings of the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) - IJCCI; ISBN 978-989-758-534-0; ISSN 2184-3236, SciTePress, pages 59-67. DOI: 10.5220/0010661200003063

@conference{ijcci21,
author={Hugo Alcaraz{-}Herrera and John Cartlidge},
title={Substitution of the Fittest: A Novel Approach for Mitigating Disengagement in Coevolutionary Genetic Algorithms},
booktitle={Proceedings of the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) - IJCCI},
year={2021},
pages={59-67},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010661200003063},
isbn={978-989-758-534-0},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) - IJCCI
TI - Substitution of the Fittest: A Novel Approach for Mitigating Disengagement in Coevolutionary Genetic Algorithms
SN - 978-989-758-534-0
IS - 2184-3236
AU - Alcaraz-Herrera, H.
AU - Cartlidge, J.
PY - 2021
SP - 59
EP - 67
DO - 10.5220/0010661200003063
PB - SciTePress