A critical discussion into the core 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.accessioned2024-03-12T23:53:05Z
dc.date.available2024-03-12T23:53:05Z
dc.date.issued2019
dc.description.abstract© 2019, Springer-Verlag GmbH Germany, part of Springer Nature.The literature is now filled with swarm intelligence algorithms developed by taking inspiration from a number of insects and other animals and phenomena, such as ants, termites, bees, fishes and cockroaches, to name just a few. Many, if not most, of these bioinspirations carry with them some common issues and features which happen at the individual level, promoting very similar collective emergent phenomena. Thus, despite using different biological metaphors as inspiration, most algorithms present a similar structure and it is possible to identify common macro-processes among them. In this context, this paper identifies a set of common features among some well-known swarm-based algorithms and how each of these approaches implement them. By doing this, we provide the community with the core features of swarm-intelligence algorithms. This diagnostic is crucial and timely to the field, because once we are able to list and explain these commonalities, we are also able to better analyze and design swarm intelligence algorithms.
dc.description.firstpage189
dc.description.issuenumber2
dc.description.lastpage200
dc.description.volume12
dc.identifier.doi10.1007/s12065-019-00209-6
dc.identifier.issn1864-5917
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/35263
dc.relation.ispartofEvolutionary Intelligence
dc.rightsAcesso Restrito
dc.subject.otherlanguageBio-inspired algorithm
dc.subject.otherlanguageMeta-heuristic
dc.subject.otherlanguageSocial insect
dc.subject.otherlanguageSwarm intelligence
dc.titleA critical discussion into the core of swarm intelligence algorithms
dc.typeArtigo
local.scopus.citations12
local.scopus.eid2-s2.0-85062711265
local.scopus.subjectBio-inspired algorithms
local.scopus.subjectCommon features
local.scopus.subjectCritical discussions
local.scopus.subjectEmergent phenomenon
local.scopus.subjectIndividual levels
local.scopus.subjectMetaheuristic
local.scopus.subjectSocial insects
local.scopus.subjectSwarm intelligence algorithms
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85062711265&origin=inward
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