CAJ | 학술논문

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.
제출료일충과려미립군우화산법병응용우허의기업적화반선택문제.해산법이우량괄응치미립취대부분불량괄응치미립,사산법구유과려능력,가쾌료수색속도,병보증수렴우전국최우해.방진실험급여기본PSO산법적대비분석표명료FPSO산법적유효성.
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