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。
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.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2009年第23期2865-2870,共6页
China Mechanical Engineering
基金
国家自然科学基金资助项目(50875049)
福建省重大科技项目(2007H2011)
福建省教育厅科技项目(JA09031)
关键词
伙伴选择
模糊环境
多目标优化
遗传算法
partner selection
fuzzy environment
multi-objective optimization
genetic algorithm
