Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

449
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

160
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

STAFF SCHEDULING BY A GENETIC ALGORITHM

Pages

  73-86

Abstract

 This paper describes a GENETIC ALGORITHMs approach to a manpower-scheduling problem arising at a PETROCHEMICAL COMPANY. Although GENETIC ALGORITHMs have been successfully used for similar problems in the past, they always had to overcome the limitations of the classical GENETIC ALGORITHMs paradigm in handling the conflict between objectives and constraints. The approach taken here is to use an indirect coding based on permutations of the personnel’s, and a heuristic decoder that builds schedules from these permutations. Computational experiments based on 52 weeks of live data are used to evaluate three different decoders with varying levels of intelligence, and four well-known crossover operators. The results reveal that the proposed algorithm is able to find high quality solutions and is both faster and more flexible than a recently published Taboo Search approach.

Cites

  • No record.

    • References

  • No record.

    • Cite

    APA: Copy

    TAHANIAN, AHMAD REZA, & KHALEGHI, MARYAM. (2013). STAFF SCHEDULING BY A GENETIC ALGORITHM. JOURNAL OF SYSTEM MANAGEMENT, 1(4), 73-86. SID. https://sid.ir/paper/341100/en

    Vancouver: Copy

    TAHANIAN AHMAD REZA, KHALEGHI MARYAM. STAFF SCHEDULING BY A GENETIC ALGORITHM. JOURNAL OF SYSTEM MANAGEMENT[Internet]. 2013;1(4):73-86. Available from: https://sid.ir/paper/341100/en

    IEEE: Copy

    AHMAD REZA TAHANIAN, and MARYAM KHALEGHI, “STAFF SCHEDULING BY A GENETIC ALGORITHM,” JOURNAL OF SYSTEM MANAGEMENT, vol. 1, no. 4, pp. 73–86, 2013, [Online]. Available: https://sid.ir/paper/341100/en

    Related Journal Papers

  • No record.

    • Related Seminar Papers

  • No record.

    • Related Plans

  • No record.

    • Recommended Workshops






    Move to top