A framework for the analysis and synthesis of Swarm Intelligence algorithms

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dc.contributor.authorCruz D.P.F.
dc.contributor.authorMaia R.D.
dc.contributor.authorde Castro L.N.
dc.date.accessioned2024-03-12T19:23:51Z
dc.date.available2024-03-12T19:23:51Z
dc.date.issued2021
dc.description.abstract© 2020 Informa UK Limited, trading as Taylor & Francis Group.Over the last decades, the number of Swarm Intelligence algorithms proposed in the literature has increased considerably. However, most algorithms do not follow an adequate scientific rigour neither the principles of Swarm Intelligence, reproducing similar computational procedures of many other approaches, but by means of a different metaphor. In this scenario, the aim of this paper is to propose a framework for the analysis and synthesis of Swarm Intelligence algorithms that can contribute to a structured understanding (analysis) and development (synthesis) of these algorithms. The main objective of the proposed framework is to guide the construction of Swarm Intelligence metaphors in a consistent and well-founded way, as well as to contribute with the analysis and development of new algorithms that had better encompass the features and abilities of insects’ societies.
dc.description.firstpage659
dc.description.issuenumber4
dc.description.lastpage681
dc.description.volume33
dc.identifier.doi10.1080/0952813X.2020.1764635
dc.identifier.issn1362-3079
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/34843
dc.relation.ispartofJournal of Experimental and Theoretical Artificial Intelligence
dc.rightsAcesso Restrito
dc.subject.otherlanguagebio-inspired algorithms
dc.subject.otherlanguagedecision-making
dc.subject.otherlanguageinformation processing
dc.subject.otherlanguagenatural computing
dc.subject.otherlanguagesocial insects
dc.subject.otherlanguageSwarm Intelligence
dc.titleA framework for the analysis and synthesis of Swarm Intelligence algorithms
dc.typeArtigo
local.scopus.citations2
local.scopus.eid2-s2.0-85085371793
local.scopus.subjectAnalysis and synthesis
local.scopus.subjectComputational procedures
local.scopus.subjectSwarm intelligence algorithms
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85085371793&origin=inward
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