A Novel Bio-Inspired Optimization Algorithm Based on Mantis Shrimp Survival Tactics

This paper presents a novel meta-heuristic algorithm inspired by the visual capabilities of the mantis shrimp (Gonodactylus smithii), which can detect linearly and circularly polarized light signals to determine information regarding the polarized light source emitter. Inspired by these unique visua...

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Bibliographic Details
Published in:	Mathematics (Basel) Vol. 13; no. 9; p. 1500
Main Authors:	Sánchez Cortez, José Alfonso, Peraza Vázquez, Hernán, Peña Delgado, Adrián Fermin
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.05.2025
Subjects:	Algorithms bio-inspired algorithm Circular polarization Emitters Foraging behavior global optimization Gonodactylus smithii Heuristic methods Langevin equation Light sources mantis shrimp Mathematical optimization Optimization Optimization algorithms Polarized light polarized light vision Power flow Shellfish Shrimps Solution space Statistical tests
ISSN:	2227-7390, 2227-7390
Online Access:	Get full text
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