NDLI: A novel genetic algorithm for partner selection problem in virtual enterprise

Content Provider	IEEE Xplore Digital Library
Author	Zhao Fuqing Hong Yi Yu Dongimei Yang Yahong
Copyright Year	2004
Abstract	Partner selection is a key problem in VE. Mhimizing risk in partner selection and ensuring the due date of the project are key to ensure the success of the VE. In this paper, a multi-objective optimization model is proposed based on the project that is organized by activity network. The objective is to minimize project failure risk and project cost together with tardy penalty by selecting the optimal combination of 'partner enterprises for all sub-projects. The rules based genetic algorithm (R-CA) and the method using R-CA solution to reduce the search space of the enumeration algorithm are . presented. Compared with the CA without rule and enumeration algorithm, the R-CA has better synthetic performance in both the computation speed and optimality as knowledge about the project is used in the rule of the R-CA. The results indicate that the proposed model and algorithm can obtain satisfactory of the problems.
Starting Page	477
Ending Page	482
File Size	518664
Page Count	6
File Format	PDF
ISBN	0780387481
DOI	10.1109/ICIMA.2004.1384242
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-08-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic algorithms Virtual enterprises Educational institutions Mathematical model Optimization methods Mathematical programming Genetic engineering Cost function Environmental management Information management
Content Type	Text
Resource Type	Article

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