Set-Based Particle Swarm Optimisation: A Review

The set-based particle swarm optimisation algorithm is a swarm-based meta-heuristic that has gained popularity in recent years. In contrast to the original algorithm, used solve discrete and combinatorial problems. main objective of this paper review provide an overview problems which been applied. This starts with examination previous attempts create discusses shortcomings existing attempts. established as only suitable variant both based on true set theory does not require problem-specific modifications. In-depth explanations are given regarding general position velocity update equations, mechanisms control exploration–exploitation trade-off, quantifiers diversity. After various applications presented, concludes discussion potential future research.