关键词: 粒子群优化, 多样性, 核心主子群, 适应度值, 收敛

Abstract: The standard particle swarm optimization in the evolution formula only considers both the colony's best fitness value and the individual's fitness values. Therefore, it leads to the low accuracy of the convergence on account of being lack of the diversity in later evolution period. In order to improve the accuracy of the algorithm, the paper proposed the core master group particle swarm, and combined a core master group particle swarm with the improved formula. The improved algorithm is proved through experiments to be more accurate.

Key words: Particle Swarm Optimization (PSO), diversity, core master group, fitness value, convergence