Expert System Aided Multi-agent Intelligent Ant Colony Optimization System

摘要：

　　In the dynamic production environment of supply chain,based on information sharing among enterprises of supply chain,this paper designs an expert system aided multi-agent intelligent ant colony algorithm system to solve the production scheduling optimization model.Where ant colony is constructed with multi-agent and the order decomposition structure and constraint are expressed by expert system.And then it builds a system using JESS and JADE to confirm this algorithm applied in a mass customization supply chain scheduling model

关键词： JADE JESS expert system ant colony algorithm multi-agent

作者: Jinghua Zhao Jie Lin

作者单位: School of Economics and Management, Tongji Univ., Shanghai 200092, China

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 2021-2025

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）