A Bio-Inspired Method for Mathematical Optimization Inspired by Arachnida Salticidade

This paper proposes a new meta-heuristic called Jumping Spider Optimization Algorithm (JSOA), inspired by Arachnida Salticidae hunting habits. The proposed algorithm mimics the behavior of spiders in nature and mathematically models its hunting strategies: search, persecution, and jumping skills to...

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Bibliografiska uppgifter

Huvudupphov:	Hernán Peraza-Vázquez, Adrián Peña-Delgado, Prakash Ranjan, Chetan Barde, Arvind Choubey, Ana Beatriz Morales-Cepeda
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2021-12-01
Serie:	Mathematics
Ämnen:	bio-inspired algorithm meta-heuristics constrained optimization global optimization
Länkar:	https://www.mdpi.com/2227-7390/10/1/102
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