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

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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Bibliographic Details
Main Authors: Hernán Peraza-Vázquez, Adrián Peña-Delgado, Prakash Ranjan, Chetan Barde, Arvind Choubey, Ana Beatriz Morales-Cepeda
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Mathematics
Subjects:
bio-inspired algorithm
meta-heuristics
constrained optimization
global optimization
Online Access:https://www.mdpi.com/2227-7390/10/1/102

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