A Study of Single-Objective Particle Swarm Optimization and Multi-Objective Particle Swarm Optimization
Ming Li Song · Applied Mechanics and Materials · 2014
The complexity of optimization problems encountered in various modeling algorithms makes a selection of a proper optimization vehicle crucial. Developments in particle swarm algorithm since its origin along with its benefits and drawbacks are mainly discussed as particle swarm optimization provides a simple realization mechanism and high convergence speed. We discuss several developments for single-objective case problem and multi-objective case problem.