摘要
概括粒子位置、速度更新公式的修正,控制参数的变换和种群多样的维持等粒子群优化算法的改进技术,介绍具有量子行为、并行处理能力及解决多目标优化问题的新型粒子群优化算法,讨论粒子群优化算法和其他优化算法混合的基本思想。
Summerizes the methods about improving Particle Swarm Optimization （PSO） by modifying the formulas of updating the particle position and velocity, switching the control parameters, and keeping variety, introduces the Quantum Particle Swarm Optimization, Parallel Particle Swarm Optimization and Particle Swarm Optimizer for Multi-Objective Optimization, and discusses the ideas about mixing PSO and other algorithms.
出处
《现代计算机》
2009年第2期22-27,共6页
Modern Computer
