Socio evolution & learning optimization algorithm: A socio-inspired optimization methodology

The paper proposes a novel metaheuristic Socio Evolution & Learning Optimization Algorithm (SELO) inspired by the social learning behaviour of humans organized as families in a societal setup. This population based stochastic methodology can be categorized under the very recent and upcoming clas...

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Vydané v:	Future generation computer systems Ročník 81; s. 252 - 272
Hlavní autori:	Kumar, Meeta, Kulkarni, Anand J., Satapathy, Suresh Chandra
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.04.2018
Predmet:	Cultural evolution Evolutionary algorithm Metaheuristic Nature-inspired computing Socio-inspired optimization Unconstrained optimization Metaheuristic Socio-inspired optimization Unconstrained optimization Cultural evolution Nature-inspired computing Evolutionary algorithm
ISSN:	0167-739X, 1872-7115
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