Extending standard evolutionary programming with self-adaptive stable distributions

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dc.contributor.authorCarvalho L.B.
dc.contributor.authorDe Oliveira P.P.B.
dc.date.accessioned2024-03-13T00:53:41Z
dc.date.available2024-03-13T00:53:41Z
dc.date.issued2016
dc.description.abstract© 2015 Taylor & Francis.Applications in evolutionary programming have suggested the use of further stable probability distributions, such as Cauchy and Lévy, in the random process associated with the mutations, as an alternative to the traditional, also stable, normal distribution. This work goes further along the encouraging results of the latter, by extending them in a self-adaptive way, with algorithms that are in tune with the standard lineage of evolutionary programming. Evaluations that rely upon standard analytical benchmarking functions and comparative performance tests between them were carried out in respect to the baseline defined by the standard evolutionary programming algorithm that relies on normal distribution. Additional comparative studies were made in respect to various self-adaptive approaches, also proposed herein, and a method drawn from the literature. The results lead to numerical and statistical superiority of the more general stable distribution based approach, when compared with the baseline, and is unclear in regard to the method drawn from the literature, possibly due to distinct implementation details.
dc.description.firstpage114
dc.description.issuenumber2
dc.description.lastpage142
dc.description.volume31
dc.identifier.doi10.1080/17445760.2015.1016517
dc.identifier.issn1744-5779
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/35999
dc.relation.ispartofInternational Journal of Parallel, Emergent and Distributed Systems
dc.rightsAcesso Restrito
dc.subject.otherlanguageadaptive mutation
dc.subject.otherlanguageevolutionary computation
dc.subject.otherlanguageevolutionary programming
dc.subject.otherlanguageLévy distribution
dc.subject.otherlanguageself-adaptation
dc.subject.otherlanguagestable probability distribution
dc.titleExtending standard evolutionary programming with self-adaptive stable distributions
dc.typeArtigo
local.scopus.citations1
local.scopus.eid2-s2.0-84958111017
local.scopus.subjectAdaptive mutation
local.scopus.subjectBenchmarking functions
local.scopus.subjectComparative performance
local.scopus.subjectComparative studies
local.scopus.subjectEvolutionary programming algorithms
local.scopus.subjectSelf adaptation
local.scopus.subjectSelf adaptive approach
local.scopus.subjectStable distributions
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84958111017&origin=inward
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