| 基于改进粒子群优化算法的虚拟企业伙伴选择 |
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| 引用本文： | 卜艳萍,周伟,俞金寿.基于改进粒子群优化算法的虚拟企业伙伴选择[J].系统工程,2008,26(12):62-65. |
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| 作者姓名： | 卜艳萍 周伟 俞金寿 |
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| 作者单位： | 卜艳萍,BU Yan-ping(华东理工大学,自动化研究所,上海,200237;上海交通大学,技术学院,上海,200231);周伟,ZHOU Wei(华东理工大学,商学院,上海,200237);俞金寿,YU Jin-shou(华东理工大学,自动化研究所,上海,200237) |
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| 摘 要： | 在分析基本粒子群优化算法和建立虚拟企业伙伴选择多目标决策模型的基础上,提出了一种求解供应链联盟伙伴选择的优化问题的改进粒子群算法.在优化过程中,该算法以优良适应值粒子取代部分不良适应值粒子,使算法具有过滤能力,加快了搜索速度,并保证了收敛于全局最优解.实验结果用基本粒子群算法进行了验证和比较,表明该改进粒子群算法具有较好的性能和简单快速准确等特点.
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| 关 键 词： | 粒子群优化算法 适应度值 虚拟企业 伙伴选择 |
Partner Selection of Virtual Enterprise Based on Improved PSO Algorithm |
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| BU Yan-ping,ZHOU Wei,YU Jin-shou.Partner Selection of Virtual Enterprise Based on Improved PSO Algorithm[J].Systems Engineering,2008,26(12):62-65. |
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| Authors: | BU Yan-ping ZHOU Wei YU Jin-shou |
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| Institution: | BU Yan-ping1,2,ZHOU Wei3,YU Jin-shou1 (1.Research Institute of Automation,East China University of Science , Technology,Shanghai 200237,China,2.School of Technology,Shanghai Jiaotong University,Shanghai 200231,3.School of Business,China) |
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| Abstract: | On the basis of analyzing the particle swarm optimization(PSO) algorithm and establishing the multi-objective decision-making model for partner selection,an improved PSO algorithm is presented to the optimize partner selection problems in a supply chain alliance.By replacing the particles with worse fitness values with the feasible particles with better fitness values during the process of optimization,the algorithm has the ability of filtrating,and the searching speed is improved,which can guarantee the gl... |
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| Keywords: | Particle Swarm Optimization Algorithm Fitness Value Virtual Enterprise Partner Selection |
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