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采用复杂适应系统理论和复杂人Agent的行为方式,进行系统节点Agent群体之间的协同进化机制研究。以成本、质量、服务水平三个准则为目标函数,构建供应商系统节点Agent决策模型;以买方选择供应商数量最少为目标函数,构建总部配送中心系统节点Agent决策模型。提出了基于多目标共生型协同进化遗传算法的Agent群体间行为优化算法,通过系统节点Agent群体间的行为优化,巩固了连锁零售供应链上下游企业之间的关系,降低了供应链的总成本。
The complex adaptive system theory and the behavior of complex human agents are used to study the co-evolution mechanism among the system node Agent groups. Based on the three criteria of cost, quality and service level, the decision model of node system of supplier is constructed. The decision model of node Agent of distribution center in headquarters is constructed by choosing the least number of suppliers as the objective function. This paper proposes an inter-agent behavior optimization algorithm based on multi-objective symbiosis coevolutionary genetic algorithm. Through the optimization of behavior among the groups of system node agents, the relationship between upstream and downstream enterprises in chain retail supply chain is consolidated and the total cost of supply chain is reduced .