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

• Published in: Knowledge-based systems Vol. 243; p. 108457
• Main Authors: Braik, Malik, Hammouri, Abdelaziz, Atwan, Jaffar, Al-Betar, Mohammed Azmi, Awadallah, Mohammed A.
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 11.05.2022; Elsevier Science Ltd
• Subjects: 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; Swarm intelligence; Nature-inspired algorithms; White Shark Optimizer; Optimization; Evolutionary computation; Meta-heuristics

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...