Intelligent modeling method based on genetic algorithm for partner selection in virtual organizations
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.
Year of publication: |
2011
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Authors: | Simona, Dinu ; Raluca, Pacuraru |
Published in: |
Business and Economic Horizons (BEH). - Prague Development Center (PRADEC). - Vol. 5.2011, 2, p. 23-34
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Publisher: |
Prague Development Center (PRADEC) |
Subject: | Virtual organization | partner selection | optimization | genetic algorithm |
Saved in:
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