Sea-horse optimizer

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

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. The performance of SHO is evaluated on 23 well-known functions and CEC2014 benchmark functions compared with six state-of-the-art metaheuristic algorithms. Five real-world engineering problems are utilized to test the effectiveness of SHO. The experimental results demonstrate that SHO is a high-performance optimizer and positive adaptability to deal with constraint problems.

Cite this paper as: Zhao S, Zhang T, Ma S, et al. Sea-horse optimizer: a novel nature-inspired meta-heuristic for global optimization problems[J]. Applied Intelligence, 2023, 53(10): 11833-11860. DOI: https://doi.org/10.1007/s10489-022-03994-3

It has been consistently selected for ESI-HOT Paper/Highly Cited Papers since July 2024.