摘要
在描述供应链联盟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优化问题的自适应遗传算法,并以实例说明了该算法的有效性.
Supply chain alliance is a new kind of business organization, and a critical issue in the formation of supply chain alliance is how to select the appropriate partners. On the basis of describing the multi\|goal decision\|making model supporting partner selection, this paper presented a self\|adaptive genetic algorithm for partner selection of supply chain alliance. And an example demonstrated the validity of the algorithm.
出处
《系统工程理论与实践》
EI
CSCD
北大核心
2003年第9期81-84,共4页
Systems Engineering-Theory & Practice
基金
中国博士后科学基金(2003033527)
关键词
供应链联盟
伙伴选择
遗传算法
supply chain alliance
partner selection
genetic algorithms
