International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 79 - Number 9 |
Year of Publication: 2013 |
Authors: Mir Ehsan Hesam Sadati, Jamshid Bagherzadeh Mohasefi |
10.5120/13767-1618 |
Mir Ehsan Hesam Sadati, Jamshid Bagherzadeh Mohasefi . The Application of Imperialist Competitive Algorithm for Fuzzy Random Portfolio Selection Problem. International Journal of Computer Applications. 79, 9 ( October 2013), 10-14. DOI=10.5120/13767-1618
This paper presents an implementation of the Imperialist Competitive Algorithm (ICA) for solving the fuzzy random portfolio selection problem where the asset returns are represented by fuzzy random variables. Portfolio Optimization is an important research field in modern finance. By using the necessity-based model, fuzzy random variables reformulate to the linear programming and ICA will be designed to find the optimum solution. To show the efficiency of the proposed method, a numerical example illustrates the whole idea on implementation of ICA for fuzzy random portfolio selection problem.