Self-Adaptation in Evolving Systems

dc.creatorStephens, C.
dc.creatorGarcia, I.
dc.creatorMora, J.
dc.creatorWaelbroeck, H.
dc.date1997-08-06
dc.date.accessioned2026-07-07T09:05:37Z
dc.date.available2026-07-07T09:05:37Z
dc.descriptionA theoretical and experimental analysis is made of the effects of self-adaptation in a simple evolving system. Specifically, we consider the effects of coding the mutation and crossover probabilities of a genetic algorithm evolving in certain model fitness landscapes. The resultant genotype-phenotype mapping is degenerate, there being no direct selective advantage for one probability versus another. We show that the action of mutation and crossover breaks this degeneracy leading to an induced symmetry breaking among the genotypic synonyms. We demonstrate that this induced symmetry breaking allows the system to self-adapt in a time dependent environment.
dc.descriptionLaTeX source, 16 p., please email hwael or stephens for figures
dc.identifierhttps://arxiv.org/abs/adap-org/9708002
dc.identifierhttp://arxiv.org/abs/adap-org/9708002
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/149738
dc.subjectAdaptation and Self-Organizing Systems
dc.subjectQuantitative Biology
dc.titleSelf-Adaptation in Evolving Systems
dc.typetext

Files

Collections