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Type:	Artigo de Periódico
Title:	A critical discussion into the core of swarm intelligence algorithms
Authors:	Dávila Patrícia Ferreira Cruz Renato Dourado Maia Leandro Nunes de Castro
Abstract:	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.
Subject:	Algoritmos Inteligência coletiva
language:	eng
metadata.dc.publisher.country:	Brasil
Publisher:	Universidade Federal de Minas Gerais
Publisher Initials:	UFMG
metadata.dc.publisher.department:	ICA - INSTITUTO DE CIÊNCIAS AGRÁRIAS
Rights:	Acesso Aberto
metadata.dc.identifier.doi:	https://doi.org/10.1007/s12065-019-00209-
URI:	http://hdl.handle.net/1843/42964
Issue Date:	4-Mar-2019
metadata.dc.url.externa:	https://link.springer.com/article/10.1007/s12065-019-00209-6
metadata.dc.relation.ispartof:	Evolutionary Intelligence
Appears in Collections:	Artigo de Periódico

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