MCPSO-ALS: A Multi-Swarm Collaborative Particle Swarm Optimization with Adaptive Learning Strategy for Solving Global Optimization Problems
Particle swarm optimization (PSO) is a classical metaheuristic algorithm that has been widely used to solve continuous optimization problems. However, it still suffers from inherent drawbacks, such as being prone to premature convergence and an imbalance between exploration and exploitation. To address these problems,...