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

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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.
Original languageEnglish
Title of host publication13th International Conference on Evolutionary Computation Theory and Applications (ECTA)
Publication statusAccepted/In press - 31 Jul 2021
Event13th International Conference on Evolutionary Computation Theory and Applications (ECTA) - Virtual (Online Streaming)
Duration: 25 Oct 202127 Oct 2021
Conference number: 13

Conference

Conference13th International Conference on Evolutionary Computation Theory and Applications (ECTA)
Abbreviated titleECTA
Period25/10/2127/10/21

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