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Volume 5
Issue 2
Online publication date 2011-04-18
Title An intelligent modeling method based on genetic algorithm for partner selection in virtual organizations
Author Dinu Simona, Pacuraru Raluca
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 genetic algorithm (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 a 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. 
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References
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Keywords Virtual organization, partner selection, optimization, genetic algorithm.
DOI http://dx.doi.org/10.15208/beh.2011.12
Pages 23-34
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