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

Dinu Simona () and Pacuraru Raluca
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Dinu Simona: Faculty of Naval Electromechanics, Constanta Maritime University, Romania
Pacuraru Raluca: Faculty of Accounting and Financial Management, Constanta “Spiru Haret” University, Romania

Business and Economic Horizons (BEH), 2011, vol. 5, issue 2, 23-34

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.

Keywords: Virtual organization; partner selection; optimization; genetic algorithm (search for similar items in EconPapers)
JEL-codes: C61 C63 M21 (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:pdc:jrnbeh:v:5:y:2011:i:2:p:23-34

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