Memetic Algorithm for Real Estate Portfolio Based on Risk Preference Coefficient
Optimization of real estate portfolio is to select two or more different types of real estate for investment,and the previous models based on expected return-variance cannot meet the needs of the investors. Furthermore,the investor changes their risk preference with the risk level. In this study,firstly,the real estate investment portfolio semi-variance model based on risk preference coefficient is constructed. The return per unit of risk is the key factor to determine an investment decision. Secondly memetic algorithm has been employed to solve the constructed model. Finally,a real-world case study is carried out to verify the performance of memetic algorithm,and indicates that memetic algorithm approach can generate better solution than GA. The memetic algorithm approach can be regarded as a useful approach for solving real estate portfolio problem.
Real estate portfolio memetic algorithm risk preference coefficient semi-variance
X.Y.Wu H.M.Li J.G.Niu Z.Q.Liu
School of Economics and Management,Hebei University of Engineering,Handan,China Institute of Construction Project Management,Hohai University,Nanjing,China Institute of Management Science and Engineering,Shijiazhuang University of Economics,Shijiazhuang,Ch Wanfang Institute of Science and Technology,Henan Polytechnic University,Jiaozuo,China
国际会议
北京
英文
1245-1249
2009-10-21（万方平台首次上网日期，不代表论文的发表时间）