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Type:	Artigo de Periódico
Title:	A framework for the analysis and synthesis of Swarm Intelligence algorithms
Authors:	Dávila Patrícia Ferreira Cruz Renato Dourado Maia Leandro Nunes de Castro
Abstract:	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.
Subject:	Framework (Arquivo de computador) Algoritmos computacionais 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 Restrito
metadata.dc.identifier.doi:	https://doi.org/10.1080/0952813X.2020.1764635
URI:	http://hdl.handle.net/1843/42961
Issue Date:	28-Mar-2020
metadata.dc.url.externa:	https://www.tandfonline.com/doi/abs/10.1080/0952813X.2020.1764635
metadata.dc.relation.ispartof:	Journal of Experimental and Theoretical Artificial Intelligence
Appears in Collections:	Artigo de Periódico

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