Portfolio selection under independent possibilistic information
Fuzzy Sets and Systems - Special issue on soft decision analysis
Portfolio optimization under D.C. transaction costs and minimal transaction unit constraints
Journal of Global Optimization
Local Search Techniques for Constrained Portfolio SelectionProblems
Computational Economics
Portfolio Selection and Transactions Costs
Computational Optimization and Applications
Improving Portfolio Efficiency: A Genetic Algorithm Approach
Computational Economics
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
IEEE Transactions on Evolutionary Computation
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The structure of portfolio selection depends essentially on the form of transaction cost. In this paper, we deal with the portfolio selection problems with general transaction costs under the assumption that the returns of assets obey LR-type possibility distributions. For any type of transaction costs, we employ a comprehensive learning particle swarm optimizer algorithm to obtain the optimal portfolio. Furthermore, we offer numerical experiments of different forms of transaction costs to illustrate the effectiveness of the proposed model and approach.