Expert System Aided Multi-Agent Intelligent Ant Colony Optimization System

Abstract:

Article Preview

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:

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 and 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

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.