Paper Title:
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

  Info
Periodical
Chapter
Chapter 4: Mechatronics and Information
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
2021-2025
DOI
10.4028/www.scientific.net/AMM.121-126.2021
Citation
J. H. Zhao, J. Lin, "Expert System Aided Multi-Agent Intelligent Ant Colony Optimization System", Applied Mechanics and Materials, Vols. 121-126, pp. 2021-2025, 2012
Online since
October 2011
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Price
$32.00
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