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

Felix T. S. Chan, Vikas Kumar, Hing Chan, S.h. Chung

Research output: Contribution to conferenceOther

1 Citation (Scopus)


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.
Original languageEnglish
Number of pages6
Publication statusPublished - 1 Oct 2006
Event2006 IEEE International Conference on Systems, Man and Cybernetics - Taipei, Taiwan, United Kingdom
Duration: 8 Oct 200611 Oct 2006


Conference2006 IEEE International Conference on Systems, Man and Cybernetics
Country/TerritoryUnited Kingdom
CityTaipei, Taiwan


  • Chaotic theory
  • GA
  • SA
  • Scheduling
  • TS

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