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

• Authors: Dinu Simona , Pacuraru Raluca
• Languages of publication: EN

Abstracts

EN

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.

Keywords

EN

Virtual organization; partner selection; optimization; genetic algorithm

Discipline

• ECONOMICS: ECONOMICS

• Publisher: Prague Development Center, Czech Republic
• Journal: Business and Economic Horizons
• Year: 2011
• Volume: 5
• Issue: 2
• Pages: 23-34

Contributors

author

Dinu Simona

author

Pacuraru Raluca

• Business and Economic Horizons, redakce, Prague Development Center s.r.o., Bořivojova 1081 / 40, 130 00, Prague 3 - Žižkov, Czech Republic