Multiobjective Optimization Using Cross-Entropy Approach. (10th December 2013)

• Record Type: Journal Article
• Authors: Sebaa, Karim; Tlemçani, Abdelhalim; Bouhedda, Mounir; Henini, Noureddine
• Other Names: Wang Ling Academic Editor.
• Is Part Of: Journal of optimization. Volume 2013(2013)
• Publication Date: 2013-12-10
• Subjects: Mathematical optimization -- Periodicals; Structural optimization -- Periodicals; Mathematical optimization; Structural optimization; Periodicals; Electronic journals; 519.6
• DOI: 10.1155/2013/270623
• Languages: English
• ISSNs: 2356-752X

Abstract

Abstract : 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.