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A hybrid CFGTSA based approach for scheduling problem: a case study of an automobile industry

Chan, Felix T.S. and Kumar, Vikas and Chan, H.K. and Chung, S.H. (2006) A hybrid CFGTSA based approach for scheduling problem: a case study of an automobile industry. In: SMC 2006 - IEEE International Conference on Systems, Man and Cybernetics, 8-11 October 2006 , Taipei, Taiwan. ISBN 1-4244-0099-6

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In the global competitive world swift, reliable and cost effective production subject to uncertain situations, through an appropriate management of the available resources, has turned out to be the necessity for surviving in the market. This inspired the development of the more efficient and robust methods to counteract the existing complexities prevailing in the market. The present paper proposes a hybrid CFGTSA algorithm inheriting the salient features of GA, TS, SA, and chaotic theory to solve the complex scheduling problems commonly faced by most of the manufacturing industries. The proposed CFGTSA algorithm has been tested on a scheduling problem of an automobile industry, and its efficacy has been shown by comparing the results with GA, SA, TS, GTS, and hybrid TSA algorithms.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Subjects:Engineering > Production engineering
Computer Science > Artificial intelligence
Computer Science > Algorithms
DCU Faculties and Centres:DCU Faculties and Schools > DCU Business School
Published in:IEEE International Conference on Systems, Man and Cybernetics, 2006 Proceedings. . Institute of Electrical and Electronics Engineers. ISBN 1-4244-0099-6
Publisher:Institute of Electrical and Electronics Engineers
Official URL:
Copyright Information:©2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
ID Code:15768
Deposited On:02 Nov 2010 11:30 by Dr Vikas Kumar. Last Modified 02 Nov 2010 11:30

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