关键词: 粒子群优化算法, 细菌觅食优化算法, 改进混合算法

Abstract:

Aiming at the phenomenon that the particle swarm optimization algorithm is easy to fall into the local extremum in the optimization process, an improved hybrid algorithm based on bacterial foraging and particle swarm optimization is proposed. Particle swarm optimization algorithm and the bacterial foraging optimization algorithm combined, the enhanced algorithm Alto global searching ability. The algorithm has the advantages of strong global search ability. Matlab simulation experiment, the results show that the improved hybrid algorithm is better than the basic PSO algorithm and the basic BFO algorithm, the convergence rate is fast, and has good robustness.

Key words: particle swarm optimization, bacterial foraging algorithm, hybrid algorithm