A comparative study on portfolio optimization problem

摘要

This paper is a comparative study of metaheuristics in the portfolio optimization problem. The objective is to present the results obtained with the meta-heuristics Cat Swarm Optimization CSO, bat algorithm BA and particle swarm optimization PSO applied to the cardinality constrained efficient frontier model CCEF, the results obtained has compared with those done using the unconstrained efficient frontier model UEF.