基于过滤微粒群优化算法的虚拟企业伙伴选择

提出了一种过滤微粒群优化算法并应用于虚拟企业的伙伴选择问题.该算法以优良适应值微粒取代部分不良适应值微粒,使算法具有过滤能力,加快了搜索速度,并保证收敛于全局最优解.仿真实验及与基本PSO算法的对比分析表明了FPSO算法的有效性.

Partner selection of virtual enterprise based on filtering PSO algorithm

A filtering PSO (FPSO)algorithm is presented and applied to solve the partner selection problem of virtual enterprise.That is replacing the particles with Wworse fitness values by the feasible particles with better fitness values during the process of optimization.Thus,the algorithm owns the ability of fdtrating,and the searching speed is improved,which can guarantee the global optimal solution being found as well.A series of experiments are performed and the simulation results are compared with standard PSO algorithm to show the efficiency of the proposed FPSO algorithm