摘要
本文在分析常规粒子群优化算法的基础上,针对物流配送优化问题,采用一种改进粒子群优化算法,并根据粒子群的群体适应度标准差和理论最优值,给出收敛判断的依据。仿真结果表明该算法具有简单、高效、快速等特点。
Conventional analysis of the PSO algorithm based on the logistic distribution optimization problem. Using an improved PSO algorithm, and fitness groups based on the standard deviation of the particle swarm theory and the optimal value. The basis for that judgment is given convergence. Simulation results show that the algorithm is simple, efficient and rapid.
出处
《电脑与电信》
2007年第6期51-52,56,共3页
Computer & Telecommunication
