Intelligent Modeling Method Based on Genetic Algorithm for Partner Selection in Virtual Organizations

• Autorzy: Simona Dinu , Raluca Pacuraru
• Języki publikacji: EN

Abstrakty

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. (original abstract)

Słowa kluczowe

EN

Virtual enterprise; Optimalization; Business partnership; Genetic algorithms

PL

Przedsiębiorstwo wirtualne; Optymalizacja; Partnerstwo biznesowe; Algorytmy genetyczne

• Czasopismo: Business and Economic Horizons
• Rocznik: 2011
• Numer: vol. 5, iss. 2
• Strony: 23--34

Twórcy

autor

Simona Dinu

• Constanta Maritime University

autor

Raluca Pacuraru

• Constanta "Spiru Haret" University

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Identyfikatory

DOI

10.15208/beh.2011.12