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Intelligent modeling method based on genetic algorithm for partner selection in virtual organizations

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  • Simona, Dinu
  • Raluca, Pacuraru

Abstract

The goal of a Virtual Organization is to find the most appropriate partners in terms of expertise, cost wise, quick response, and environment. In this study we propose a model and a solution approach to a partner selection problem considering three main evaluation criteria: cost, time and risk. This multiobjective problem is solved by an improved GA that includes meiosis specific characteristics and step-size adaptation for the mutation operator. The algorithm performs strong exploration initially and exploitation in later generations. It has high global search ability and a fast convergence rate and also avoids premature convergence. On the basis of the numerical investigations, the incorporation of the proposed enhancements has been successfully proved.

Suggested Citation

  • Simona, Dinu & Raluca, Pacuraru, 2011. "Intelligent modeling method based on genetic algorithm for partner selection in virtual organizations," Business and Economic Horizons (BEH), Prague Development Center (PRADEC), vol. 5(2), pages 1-12, April.
    • Handle: RePEc:ags:pdcbeh:204193
    DOI: 10.22004/ag.econ.204193
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