带有种群平均信息和保持活性策略的粒子群优化算法

Particle Swarm Optimization Algorithm with Swarm Average Information and Keeping Activity Strategy

利用种群的平均信息和保持活性策略,试图改变粒子群优化算法的性能,从而提出了一种带有种群平均信息和保持活性策略的粒子群优化算法,对典型优化问题的实例仿真说明带有种群平均信息和保持活性策略的粒子群优化算法比保持活性的粒子群优化算法具有更好的性能和全局搜索能力.

This paper tries to improve particle swarm optimization（PSO） performance that making use of the average information of swarm and keeping active strategy, then proposes a kind of particle swarm optimization algorithm with the average information of swarm and keeping active strategy（BPSO）, BPSO is better in global searching and performance than PSO by real example simulation for classical optimization problems.