Scheduled System Maintenance:
On Monday, April 27th, IEEE Xplore will undergo scheduled maintenance from 1:00 PM - 3:00 PM ET (17:00 - 19:00 UTC). No interruption in service is anticipated.
By Topic

Research on the Partner Selection of Virtual Enterprise Based on Self-adaptive Genetic Algorithm

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Mingzhi Huang ; Wuhan Univ. of Tecnnology, Wuhan ; Chengwei Fan

In this paper, the problem of partner selection for virtual enterprise (VE) is addressed. A mathematical model considering the process time, cost, quality and reliability in partner selection of VE is constructed and an algorithm based on self-adaptive genetic algorithms is proposed for that problem. In this algorithm, self-adaptive crossover and mutation functions are designed considering the individual's fitness. Thus, each individual of the population owns the ability of self-adaptation according to the variation of the environment. The designed operators can avoid the emergency of premature and contribute to the convergence of the algorithm, which guarantee the global optimal solution being found as well.

Published in:

Intelligent Information Hiding and Multimedia Signal Processing, 2007. IIHMSP 2007. Third International Conference on  (Volume:2 )

Date of Conference:

26-28 Nov. 2007