Title :
Risk assessment of real estate investment
Author :
Shujing, Zhou ; Fei, Wang ; Yancang, Li
Author_Institution :
Coll. of Civil Eng., Hebei Univ. of Eng., Handan, China
Abstract :
To overcome the shortcoming of the methods of the real estate investment risk assessment used today, which usually fail to solve the high-dimension data, an improved PPC model was proposed. By using the Projection Pursuit based on real-coded genetic algorithm, the method evaluates the merits of the investment programs. The real-coded genetic algorithm was applied to finish the global optimization. The example showed the efficiency of the method.
Keywords :
genetic algorithms; investment; risk management; PPC model; global optimization; high-dimension data; projection pursuit; real coded genetic algorithm; real estate investment program; risk assessment; Asia; Automatic control; Data analysis; Decision making; Genetic algorithms; Informatics; Investments; Risk management; Robot control; Robotics and automation; PPC; model; real estate; risk management;
Conference_Titel :
Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5192-0
Electronic_ISBN :
1948-3414
DOI :
10.1109/CAR.2010.5456809
