Multiobjective Evolutionary Algorithms for Portfolio Management: A comprehensive literature review

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In this paper we provide a review of the current state of research on Portfolio Management with the support of Multiobjective Evolutionary Algorithms (MOEAs). Second we present a methodological framework for conducting a comprehensive literature review on the Multiobjective Evolutionary Algorithms (MOEAs) for the Portfolio Management. Third, we use this framework to gain an understanding of the current state of the MOEAs for the Portfolio Management research field and fourth, based on the literature review, we identify areas of concern with regard to MOEAs for the Portfolio Management research field.

论文关键词:Multiobjective optimization,Evolutionary algorithms,Portfolio Management,Pareto front

论文评审过程:Available online 26 April 2012.

论文官网地址:https://doi.org/10.1016/j.eswa.2012.04.053