Memetic Algorithmsを用いたポートフォリオ最適化 Aranha Claus(アランニャ クラウス) 伊庭 斉志
In this work we show the use of Memetic Algorithms, combined with a novel GA representation, for optimizing weights in Financial Portfolios. The use of Local optimization is show to greatly improve the obtained results, when compared with pure GA.