A Hybrid Intelligent Algorithm for Optimal Birandom Portfolio Selection Problems. (16th June 2014)

• Record Type: Journal Article
• Authors: Li, Qi; Cao, Guo-Hua; Shan, Dan
• Other Names: Huang He Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2014(2014)
• Publication Date: 2014-06-16
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2014/213518
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : Birandom portfolio selection problems have been well developed and widely applied in recent years. To solve these problems better, this paper designs a new hybrid intelligent algorithm which combines the improved LGMS-FOA algorithm with birandom simulation. Since all the existing algorithms solving these problems are based on genetic algorithm and birandom simulation, some comparisons between the new hybrid intelligent algorithm and the existing algorithms are given in terms of numerical experiments, which demonstrate that the new hybrid intelligent algorithm is more effective and precise when the numbers of the objective function computations are the same.