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

Chan, Felix T. S., Kumar, Vikas, Chan, Hing and Chung, S.h. (2006) A hybrid CFGTSA based approach for scheduling problem: A case study of an automobile industry. In: 2006 IEEE International Conference on Systems, Man and Cybernetics, 2006-10-08 - 2006-10-11.

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Abstract

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 (Other)
Uncontrolled Keywords:	cfgtsa,chaotic theory,ga,sa,scheduling,ts
Faculty \ School:	Faculty of Social Sciences > Norwich Business School
UEA Research Groups:	Faculty of Social Sciences > Research Groups > Innovation, Technology and Operations Management
Depositing User:	Pure Connector
Date Deposited:	16 Dec 2013 15:46
Last Modified:	28 Mar 2025 13:27
URI:	https://ueaeprints.uea.ac.uk/id/eprint/45148
DOI:	10.1109/ICSMC.2006.385107

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