K. Metaxiotis and K. Liagkouras, “Multiobjective Evolutionary Algorithms for Portfolio Management: A comprehensive Literature Review,” Expert Systems with Applications 39, Vol.39, No. 14, 2012, pp.11685–11698. doi:10.1016/j.eswa.2012.04.053

has been cited by the following article:

• TITLE: The Constrained Mean-Semivariance Portfolio Optimization Problem with the Support of a Novel Multiobjective Evolutionary Algorithm

  AUTHORS: K. Liagkouras, K. Metaxiotis

  KEYWORDS: Multiobjective Optimization; Evolutionary Algorithms; Portfolio Optimization

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.6 No.7B, October 23, 2013

  ABSTRACT: The paper addresses the constrained mean-semivariance portfolio optimization problem with the support of a novel multi-objective evolutionary algorithm (n-MOEA). The use of semivariance as the risk quantification measure and the real world constraints imposed to the model make the problem difficult to be solved with exact methods. Thanks to the exploratory mechanism, n-MOEA concentrates the search effort where is needed more and provides a well formed efficient frontier with the solutions spread across the whole frontier. We also provide evidence for the robustness of the produced non-dominated solutions by carrying out, out-of-sample testing during both bull and bear market conditions on FTSE-100.