An Improve PSO Based Hybrid Algorithms

This paper used Particle swarm optimization (PSO) algorithms and its hybrid algorithms such as PSOPC and UPSO for solving optimization problems. Particle swarm optimization with passive congregation (PSOPC) and the unified PSO algorithm is called UPSO use to improve the performance and convergence of standard PSO. Passive congregation is an important biological force preserving swarm integrity and presents a unified PSO to improve convergence. A hybrid PSO algorithm such as UPSO and PSOPC are tested with 6 benchmark functions and simulation result compared whit standard genetic algorithm and standard Particle swarm optimization algorithm, respectively. Experiment result indicates that the PSOPC and UPSO improve the search convergence and performance on the benchmark function significantly.