The dynamic study on decision-making of real estate portfolio based on ACO

Author

Wang, Yixin ; Zhang, Chunsheng

Author_Institution

Sch. of Civil Eng., Henan Polytech. Univ., Jiaozuo, China

fYear

2011

fDate

8-10 Aug. 2011

Firstpage

2521

Lastpage

2523

Abstract

ACO is a new distributed intelligent biologically-inspired algorithm simulated evolution, and is widely used for solving various combinatorial optimization problems. The simulation results showed that this method is better than genetic algorithm in the iterations and results. So ant system algorithm with variance as the risky measure indexes is better than basic ACO and genetic algorithm in real estate portfolio. The investigated results provide a practical solution for the real estate project management investment, which has a crucial practical significance for promoting the decision of real estate investment.

Keywords

combinatorial mathematics; decision making; distributed algorithms; genetic algorithms; investment; property market; ACO; combinatorial optimization; decision making; distributed intelligent biologically inspired algorithm; genetic algorithm; problem solving; real estate investment; real estate portfolio; real estate project management; risky measure indexes; Computational modeling; Genetic algorithms; Heuristic algorithms; Indexes; Investments; Portfolios; ACO; dynamic; portfolio; real estate; variance;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on

Conference_Location

Deng Leng

Print_ISBN

978-1-4577-0535-9

Type

conf

DOI

10.1109/AIMSEC.2011.6011230

Filename

6011230