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A Hybrid Intelligent Algorithm for Optimal Birandom Portfolio Selection Problems

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  • Qi Li
  • Guo-Hua Cao
  • Dan Shan

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.

Suggested Citation

  • Qi Li & Guo-Hua Cao & Dan Shan, 2014. "A Hybrid Intelligent Algorithm for Optimal Birandom Portfolio Selection Problems," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-6, June.
    • Handle: RePEc:hin:jnlmpe:213518
    DOI: 10.1155/2014/213518
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