Applying Ant Colony Optimisation (ACO) algorithm to dynamic job shop scheduling problems

Author： Zhou Rong   Lee Heow Pueh   Nee Andrew Y.C.  

Publisher： Inderscience Publishers

ISSN： 1750-0591

Source： International Journal of Manufacturing Research, Vol.3, Iss.3, 2008-07, pp. : 301-320

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Ant Colony Optimisation for multi-level assembly job shop scheduling

By Omkumar M.   Shahabudeen P.  

International Journal of Manufacturing Research, Vol. 4, Iss. 4, 2009-09 ,pp. : 410-427

Inderscience Publishers

Access to resources Recommend Favorite

A parallel hybrid ant colony optimisation approach for job-shop scheduling problem

By Zhang Haipeng   Gen Mitsuo  

International Journal of Manufacturing Technology and Management, Vol. 16, Iss. 1-2, 2008-11 ,pp. : 22-41

Inderscience Publishers

Access to resources Recommend Favorite

Pareto-based discrete artificial bee colony algorithm for multi-objective flexible job shop scheduling problems

By Li Jun-Qing  

The International Journal of Advanced Manufacturing Technology, Vol. 55, Iss. 9-12, 2011-08 ,pp. : 1159-1169

Springer Publishing Company

Access to resources Recommend Favorite

A novel hybrid election campaign optimisation algorithm for multi-objective flexible job-shop scheduling problem

By Wang Shuting  

International Journal of Materials and Structural Integrity, Vol. 7, Iss. 1-3, 2013-07 ,pp. : 160-170

Inderscience Publishers

Access to resources Recommend Favorite

Solving flexible job-shop scheduling problem using hybrid particle swarm optimisation algorithm and data mining

By Karthikeyan S.  

International Journal of Manufacturing Technology and Management, Vol. 26, Iss. 1-4, 2012-01 ,pp. : 81-103

Inderscience Publishers

Access to resources Recommend Favorite