Research on Supply Chain Management Using Multi-Agent System Based on Ant Colony Algorithm

Xianglei Zhao, Houkuan Huang, Chong Shao
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Abstract

Supply chain management has become a very important economic topic. In this paper, we use multi-agent system to solve this problem. But how to control the supply chain links in the various details and how to manage the supply chain optimization effectively is a very difficult issue. We use ant colony optimization algorithm and rational multi-agent model of supply chain management to solve the supply chain management problem effectively. The experiment shows this method is better than normal method.
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基于蚁群算法的多智能体供应链管理研究
供应链管理已经成为一个非常重要的经济课题。本文采用多智能体系统来解决这一问题。但是如何在各个细节上对供应链环节进行控制,如何对供应链进行有效的优化管理是一个非常困难的问题。采用蚁群优化算法和合理的多智能体供应链管理模型,有效地解决了供应链管理问题。实验表明,该方法优于常规方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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