J4 ›› 2009, Vol. 20 ›› Issue (23): 2865-2870.

• 科学基金 • 上一篇    下一篇

模糊环境下虚拟企业伙伴选择的多目标优化

黄彬1,2;高诚辉1,2;陈亮1
  

  1. 1.福州大学,福州,350108
    2.福建省制造业数字化设计工程研究中心,福州,350002
  • 出版日期:2009-12-10 发布日期:2010-01-29

Multi-objective Optimization for Partner Selection in a Virtual Enterprise under Fuzzy Environment

Huang Bin1,2;Gao Chenghui1,2;Chen Liang1
  

  1. 1.Fuzhou University, Fuzhou, 350108
    2.Digital Design Center for Manufacturing of Fujian Province, Fuzhou, 350002
  • Online:2009-12-10 Published:2010-01-29

摘要:

针对模糊完工时间和模糊交货期下的虚拟企业伙伴选择问题,提出了以极大化最小客户满意度、极大化平均客户满意度和极小化完工成本为指标的多目标优化模型。采用最小隶属度偏差法将多目标问题转换为多个单目标优化问题,并应用自适应遗传算法进行求解。同时,在遗传算法的适应度函数处理中引入模糊数处理方法,解决了带模糊数的伙伴选择问题。仿真结果表明了该方法的可行性和有效性。
 

关键词:

伙伴选择;模糊环境;多目标优化;遗传算法
 

Abstract:

To deal with the partner selection problem with fuzzy completion time and fuzzy due date in a virtual enterprise, a multi-objective optimization model was proposed. The objectives of the optimization model were to maximize the minimum customer satisfaction, the average customer satisfaction, and minimize the completion cost. And then, the deviation method of minimum subordinative degree was used to convert the multi-objective problem into several single-objective optimization problems that were solved by an adaptive genetic algorithm. By introducing fuzzy number processing methods into the fitness function, the partner selection problem with fuzzy numbers was solved. Finally, the simulation results indicate the feasibility and effectiveness of the proposed method.

Key words: partner selection, fuzzy environment, multi-objective optimization, genetic algorithm

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