Multiobjective Optimization Using Cross-Entropy Approach
Joint Authors
Tlemçani, Abdelhalim
Bouhedda, Mounir
Henini, Noureddine
Sebaa, Karim
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-10
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
A new approach for multiobjective optimization is proposed in this paper.
The method based on the cross-entropy method for single objective optimization (SO) is adapted to MO optimization by defining an adequate sorting criterion for selecting the best candidates samples.
The selection is made by the nondominated sorting concept and crowding distance operator.
The effectiveness of the approach is tested on several academic problems (e.g., Schaffer, Fonseca, Fleming, etc.).
Its performances are compared with those of other multiobjective algorithms.
Simulation results and comparisons based on several performance metrics demonstrate the effectiveness of the proposed method.
American Psychological Association (APA)
Sebaa, Karim& Tlemçani, Abdelhalim& Bouhedda, Mounir& Henini, Noureddine. 2013. Multiobjective Optimization Using Cross-Entropy Approach. Journal of Optimization،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-459123
Modern Language Association (MLA)
Sebaa, Karim…[et al.]. Multiobjective Optimization Using Cross-Entropy Approach. Journal of Optimization No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-459123
American Medical Association (AMA)
Sebaa, Karim& Tlemçani, Abdelhalim& Bouhedda, Mounir& Henini, Noureddine. Multiobjective Optimization Using Cross-Entropy Approach. Journal of Optimization. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-459123
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-459123
