General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • APC: 800 USD
    • E-mail: editor@ijcte.org
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IJCTE 2016 Vol.8(3): 203-206 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2016.V8.1044

The Optimization Decision Model of Sub-contractor Selection in Multiple Subproject and Its Solving Method of Genetic Algorithm

Huiyang Xie

Abstract—Along with the prosperity of market economy, the improvement of comprehensive the corporate strength, large and medium-sized projects become more and more. On the other hand, the tendering and bidding market has become increasingly fierce, the benefit of the enterprises who win the bidding generally cannot be too high. According to the main evaluation factors in the evaluation of bid, this paper established a quantitative evaluation index system, using the quantitative indicators as variables, built up the integer programming bid evaluation optimization decision model with comparative benefit maximization of competitive bid unit as the objective function and the general requirements of umbrella project to subproject as constraint conditions. According to the characteristics of the problem of sub-contractor selection in multiple subprojects, this paper put forward the corresponding algorithm of genetic algorithm. Examples show that the algorithm is effective.

Index Terms—Genetic algorithm, multiple subproject, optimization, sub-contractor.

Huiyang Xie is with Beijing Forestry University, 100083, Beijing, China (e-mail: xhyang@bjfu.edu.cn).

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Cite:Huiyang Xie, "The Optimization Decision Model of Sub-contractor Selection in Multiple Subproject and Its Solving Method of Genetic Algorithm," International Journal of Computer Theory and Engineering vol. 8, no. 3, pp. 203-206, 2016.


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