Cyber-EDA: Estimation of Distribution Algorithms with Adaptive Memory Programming
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-29
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The estimation of distribution algorithm (EDA) aims to explicitly model the probability distribution of the quality solutions to the underlying problem.
By iterative filtering for quality solution from competing ones, the probability model eventually approximates the distribution of global optimum solutions.
In contrast to classic evolutionary algorithms (EAs), EDA framework is flexible and is able to handle inter variable dependence, which usually imposes difficulties on classic EAs.
The success of EDA relies on effective and efficient building of the probability model.
This paper facilitates EDA from the adaptive memory programming (AMP) domain which has developed several improved forms of EAs using the Cyber-EA framework.
The experimental result on benchmark TSP instances supports our anticipation that the AMP strategies can enhance the performance of classic EDA by deriving a better approximation for the true distribution of the target solutions.
American Psychological Association (APA)
Yin, Peng-Yeng& Wu, Hsi-Li. 2013. Cyber-EDA: Estimation of Distribution Algorithms with Adaptive Memory Programming. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1031681
Modern Language Association (MLA)
Yin, Peng-Yeng& Wu, Hsi-Li. Cyber-EDA: Estimation of Distribution Algorithms with Adaptive Memory Programming. Mathematical Problems in Engineering No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-1031681
American Medical Association (AMA)
Yin, Peng-Yeng& Wu, Hsi-Li. Cyber-EDA: Estimation of Distribution Algorithms with Adaptive Memory Programming. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1031681
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031681