PL EN


2011 | 5 | 2 | 23-34
Article title

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

Content
Title variants
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.
Year
Volume
5
Issue
2
Pages
23-34
Physical description
Contributors
author
  • Business and Economic Horizons, redakce, Prague Development Center s.r.o., Bořivojova 1081 / 40, 130 00, Prague 3 - Žižkov, Czech Republic
References
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.cejsh-373706e5-b8cb-489f-998a-c213ab6a4be6
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