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

Tung Sun Chan, Vikas Kumar, H. K. Chan, Sai Ho Chung

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

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
Title of host publication2006 IEEE International Conference on Systems, Man and Cybernetics
Number of pages6
ISBN (Print)1424401003, 9781424401000
Publication statusPublished - 1 Jan 2007
Externally publishedYes
Event2006 IEEE International Conference on Systems, Man and Cybernetics - Taipei, Taiwan
Duration: 8 Oct 200611 Oct 2006


Conference2006 IEEE International Conference on Systems, Man and Cybernetics


  • Chaotic theory
  • GA
  • SA
  • Scheduling
  • TS

ASJC Scopus subject areas

  • Engineering(all)

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