White Shark Optimizer: A novel bio-inspired meta-heuristic algorithm for global optimization problems

This paper presents a novel meta-heuristic algorithm so-called White Shark Optimizer (WSO) to solve optimization problems over a continuous search space. The core ideas and underpinnings of WSO are inspired by the behaviors of great white sharks, including their exceptional senses of hearing and sme...

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Veröffentlicht in:	Knowledge-based systems 2022-05, Vol.243, p.108457, Article 108457
Hauptverfasser:	Braik, Malik, Hammouri, Abdelaziz, Atwan, Jaffar, Al-Betar, Mohammed Azmi, Awadallah, Mohammed A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Evolutionary algorithms Evolutionary computation Global optimization Heuristic methods Meta-heuristics Nature-inspired algorithms Optimization Reliability analysis Searching Smell Statistical methods Swarm intelligence White Shark Optimizer
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