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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	The Artificial intelligence review Ročník 57; číslo 5; s. 123
Hlavní autoři:	Fu, Youfa, Liu, Dan, Chen, Jiadui, He, Ling
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Dordrecht Springer Netherlands 23.04.2024 Springer Nature B.V
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!