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

Hugo Alcaraz-Herrera, John Cartlidge

2021

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.

Paper Citation

in Harvard Style

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) - Volume 1: IJCCI; ISBN 978-989-758-534-0, SciTePress, pages 59-67. DOI: 10.5220/0010661200003063

in Bibtex Style

@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) - Volume 1: IJCCI},
year={2021},
pages={59-67},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010661200003063},
isbn={978-989-758-534-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) - Volume 1: IJCCI
TI - Substitution of the Fittest: A Novel Approach for Mitigating Disengagement in Coevolutionary Genetic Algorithms
SN - 978-989-758-534-0
AU - Alcaraz-Herrera H.
AU - Cartlidge J.
PY - 2021
SP - 59
EP - 67
DO - 10.5220/0010661200003063
PB - SciTePress