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基于遗传算法的动态联盟伙伴选择过程及优化模型
Partners selection process and optimization model for virtual corporations based on genetic algorithms
【摘要】 动态联盟中的伙伴选择和优化是动态联盟组建过程中的一个关键问题。该文对动态联盟中伙伴选择问题的复杂性进行了分析 ,指出已有定量方法存在的局限性 ,在对伙伴选择过程进行数学描述的基础上 ,提出了一个基于遗传算法的联盟伙伴选择优化模型 ;并对该模型的算法进行了设计和改进 ,最后给出了一个典型算例 ,以说明该模型和算法的有效性。
【Abstract】 One of the critical issues in the formation of virtual corporations is the partner selection and optimization process. A partners selection optimization model and algorithms based on genetic algorithms (GA) is proposed. The complexity of partners selection in forming virtual corporation is discussed and the partners selection process is described in detail. Then, a process and optimization model for partners selection and the improved algorithm is presented based on GA. Finally, a typical simulation study is carried out to illustrate the model’s validity.
【Key words】 virtual corporation (VC); partners selection; genetic algorithms (GA);
- 【文献出处】 清华大学学报(自然科学版) ,JOURNAL OF TSINGHUA UNIVERSITY(SCIENCE AND TECHNOLOGY) , 编辑部邮箱 ,2000年10期
- 【分类号】TH166
- 【被引频次】422
- 【下载频次】1936