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Cites:

Information Journal Paper

Title

A GENETIC ALGORITHM APPROACH FOR P/STSI,B/ΣWJFJ PROBLEM

Pages

  35-43

Abstract

 In this paper, a GENETIC ALGORITHM is presented for an identical parallel-machine scheduling problem with family SETUP TIME that minimizes the total WEIGHTED FLOW TIME (P/STsi,b/Swjfj). No set-up is necessary between jobs belonging to the same family. A set-up must be scheduled when switching from the processing of family i jobs to those of another family j, i ¹ j, the duration of this set-up being the sequence-independent set-up time sj for family j. This problem is shown to be NP-hard in the strong sense and obtaining an optimal solution for the large-sized problems in reasonable computational time is extremely difficult. Further, it is computationally evaluated the performance of the proposed GENETIC ALGORITHM solutions obtained using a mixed integer programming (MIP) with the Lingo 8.0 software.

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  • Cite

    APA: Copy

    MEHDIZADEH, E., & TAVAKKOLI MOGHADDAM, R.. (2011). A GENETIC ALGORITHM APPROACH FOR P/STSI,B/ΣWJFJ PROBLEM. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, 7(13), 35-43. SID. https://sid.ir/paper/309870/en

    Vancouver: Copy

    MEHDIZADEH E., TAVAKKOLI MOGHADDAM R.. A GENETIC ALGORITHM APPROACH FOR P/STSI,B/ΣWJFJ PROBLEM. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL[Internet]. 2011;7(13):35-43. Available from: https://sid.ir/paper/309870/en

    IEEE: Copy

    E. MEHDIZADEH, and R. TAVAKKOLI MOGHADDAM, “A GENETIC ALGORITHM APPROACH FOR P/STSI,B/ΣWJFJ PROBLEM,” JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, vol. 7, no. 13, pp. 35–43, 2011, [Online]. Available: https://sid.ir/paper/309870/en

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