A Modified Manta Ray Foraging Optimization for Global Optimization Problems

The Manta ray foraging optimization (MRFO) is a novel swarm-based metaheuristic optimizer. It is mainly modeled by simulating three foraging behaviors of the Manta rays, which has a good performance. However, several drawbacks of MRFO have been noticed by analyzing its mathematical model. Random sel...

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Opis bibliograficzny

Główni autorzy:	Andi Tang, Huan Zhou, Tong Han, Lei Xie
Format:	Artigo
Język:	Inglês
Wydane:	IEEE 2021-01-01
Seria:	IEEE Access
Hasła przedmiotowe:	Manta rays foraging optimizer metaheuristic swarm intelligence algorithm engineering optimization problems
Dostęp online:	https://ieeexplore.ieee.org/document/9540695/
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