Title :
Analysis of Project Investment Decision by Genetic Algorithm
Author :
Hou, Xilin ; Fang, Lina
Author_Institution :
Anshan Sch. of Bus. Adm., Anshan Univ. of Sci. & Technol.
Abstract :
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
Keywords :
genetic algorithms; investment; pattern recognition; project management; break even analysis; genetic algorithm; pattern recognition; project investment decision analysis; Algorithm design and analysis; Automation; Electronic mail; Encoding; Genetic algorithms; Intelligent control; Investments; Pattern analysis; Pattern recognition; Performance analysis; break even analysis; genetic algorithm; project investment decision;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1714464
