Analysis of Project Investment Decision by Genetic Algorithm
Xilin Hou, Lina Fang · 2006
In order to optimize model construction and improve the fitting of it, the paper stands at the viewpoint of pattern recognition, studies the data features of the genetic algorithm by aiming at the deficiency in traditional model construction and provides reliable foundations for investment decision. Moreover, improvement and analysis are also made to improve the performance of encoding method, proper genetic operators, and parameters etc