Estimation of distribution algorithms based on two copula selection methods
by Xiaoping Wang; Huimin Gao; Jianchao Zeng
International Journal of Computing Science and Mathematics (IJCSM), Vol. 3, No. 4, 2012

Abstract: In order to solve the copula selection problem, an innovative method, called switched copula selection method is introduced, which is inspired by the mixed copula selection method. The new method can ignore how to determine a fixed copula beforehand, whereas it organises different kinds of copulas through a copula selection pool. Applying copula selection methods to estimation of distribution algorithms (EDAs), the procedures of proposed mixed copula-EDAs and switched copula-EDAs are described in detail. Comparing with the single copula-EDAs, the experiment results show that switched copula-EDAs is easy to implement and provides a balance between accuracy and efficiency of the copula selection, in the meantime it promotes the performance whereas the computation complexity is almost the same.

Online publication date: Wed, 23-Jan-2013

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computing Science and Mathematics (IJCSM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com