Sea-horse optimizer: a novel nature-inspired meta-heuristic for global optimization problems

• Published in: Applied intelligence (Dordrecht, Netherlands) Vol. 53; no. 10; pp. 11833 - 11860
• Main Authors: Zhao, Shijie, Zhang, Tianran, Ma, Shilin, Wang, Mengchen
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.05.2023; Springer Nature B.V
• Subjects: Algorithms; Artificial Intelligence; Computer Science; Genetic algorithms; Global optimization; Heuristic; Heuristic methods; Horses; Intelligence; Machines; Males; Manufacturing; Mechanical Engineering; Mutation; Optimization algorithms; Optimization techniques; Performance evaluation; Processes; Source code; Statistical analysis; Swarm intelligence; Metaheuristic; Swarm intelligence; Sea-horse optimizer; Optimization

This paper proposes a novel swarm intelligence-based metaheuristic called as sea-horse optimizer (SHO), which is inspired by the movement, predation and breeding behaviors of sea horses in nature. In the first two stages, SHO mimics different movements patterns and the probabilistic predation mechan...