skip to main content
10.1145/1543834.1543858acmconferencesArticle/Chapter ViewAbstractPublication PagesgecConference Proceedingsconference-collections
research-article

An improved quantum genetic algorithm for stochastic flexible scheduling problem with breakdown

Authors Info & Claims
Published:12 June 2009Publication History

ABSTRACT

A stochastic flexible scheduling problem subject to random breakdowns is studied in this paper, which objective is to minimize the expected value of makespan. We consider a preemptive-resume model of breakdown. The processing times, breakdown intervals and repair times are random variables subjected to independent normal distributions. An expanding method inspired by paper [1] is devised through predicting expected breakdown time of machines. Based on some concepts of quantum evolution, an Improved Quantum Genetic Algorithm (IQGA) is proposed, which is tested on a sampling problem compared with Cooperative Co-evolutionary Genetic Algorithm (CCGA) and Genetic Algorithm (GA). Experiment results show IQGA has better feasibility and effectiveness.

References

  1. S.F. Li, Y.L. Zhu. 2005. Flow shop scheduling with stochastic processing times and machine breakdowns, Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems. v 11, n 10, 1425--1429.Google ScholarGoogle Scholar
  2. P. Michael, 2002. Scheduling, Theory, Algorithms, and Systems, Beijing, Tsinghua University Press.Google ScholarGoogle Scholar
  3. M. A. Potter, K. A. D. Jong. 1994. A cooperative coevolutionary approach to function optimization, The Third Parallel Problem Solving From Nature, 249--257. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. K. K. Han, and J. H. Kim. 2002. Quantum-Inspired evolutionary algorithm for a class of combinatorial optimization, IEEE Transactions on Evolutionary Computation, v 6, n 6, 580--593. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. D. ALCAIDE, RODRIGUEZ. 2002. An approach to solve the minimum expected makespan flow-shop problem subject to breakdowns, in: European Journal of Operation Research. v 140, n 2, 384--398.Google ScholarGoogle Scholar
  6. I.B. Shahid, H.F. Sun, F.P. Zhang, M.W. Amir,. 2006. Scheduling in flexible job shops under machine breakdowns with initial setup times -- A practical application, WSEAS Transactions on Systems, v 5, n 9, 2224--2229.Google ScholarGoogle Scholar

Index Terms

  1. An improved quantum genetic algorithm for stochastic flexible scheduling problem with breakdown

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        GEC '09: Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
        June 2009
        1112 pages
        ISBN:9781605583266
        DOI:10.1145/1543834

        Copyright © 2009 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 12 June 2009

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader