Expert System Aided Multi-Agent Intelligent Ant Colony Optimization System

Abstract:

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

• Periodical: Applied Mechanics and Materials (Volumes 121-126)
• Pages: 2021-2025
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.121-126.2021
• Online since: October 2011
• Authors: Jing Hua Zhao, Jie Lin
• Keywords: Ant Colony Algorithm (ACA), Expert System, Jade, JESS, Multi-Agent (MA)

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