A global optimization algorithm inspired in the behavior of selfish herds

In this paper, a novel swarm optimization algorithm called the Selfish Herd Optimizer (SHO) is proposed for solving global optimization problems. SHO is based on the simulation of the widely observed selfish herd behavior manifested by individuals within a herd of animals subjected to some form of p...

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Veröffentlicht in:	BioSystems 2017-10, Vol.160, p.39-55
Hauptverfasser:	Fausto, Fernando, Cuevas, Erik, Valdivia, Arturo, González, Adrián
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Animals Bio-inspired algorithms Biological Evolution Crows - physiology Global optimization Insecta - physiology Mass Behavior Predation Predatory Behavior Selfish herd behavior Swarm optimization algorithms
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