Secretary bird optimization algorithm: a new metaheuristic for solving global optimization problems

This study introduces a novel population-based metaheuristic algorithm called secretary bird optimization algorithm (SBOA), inspired by the survival behavior of secretary birds in their natural environment. Survival for secretary birds involves continuous hunting for prey and evading pursuit from pr...

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Bibliographic Details
Published in:	The Artificial intelligence review Vol. 57; no. 5; p. 123
Main Authors:	Fu, Youfa, Liu, Dan, Chen, Jiadui, He, Ling
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 23.04.2024 Springer Nature B.V
Subjects:	Algorithms Animals Artificial Intelligence Birds Computer Science Convergence Design engineering Experiments Exploitation Global optimization Heuristic methods Hunting Natural environment Optimization Optimization algorithms Predator-prey simulation Predators Refuge Snakes Survival Termination Unmanned aerial vehicles World problems Secretary bird optimization algorithm Exploration and exploitation Engineering design problems Heuristic algorithm Nature-inspired optimization
ISSN:	1573-7462, 0269-2821, 1573-7462
Online Access:	Get full text
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