Paper Title
An Application of Artificial Bee Colony Algorithm to Cardinality Constrained Portfolio Optimization Problem

Abstract
Portfolio selection problem is a real valued variables optimization problem of two conflicting objectives: profit maximization and risk minimization. The problem is to obtain an efficient frontier that corresponds to a set of pareto optimal solutions, since both objectives cannot be simultaneously achieved. In this paper, an artificial bee colony algorithm based solution approach is applied to solve cardinality constrained portfolio optimization problem. Computational results are promising where there is room for improvement. Keywords� Portfolio Optimization, Cardinality Constraints, Metaheuristics, Artificial Bee Colony Algorithm.