DocumentCode :
3222291
Title :
Multi-objective evolutionary algorithm for multi-project and multi-term portfolio problem
Author :
Yuan Zhou ; Hailim Liu ; Wenqin Chen
Author_Institution :
Sch. of Appl. Math., Guangdong Univ. of Technol., Guangzhou, China
fYear :
2013
fDate :
16-19 April 2013
Firstpage :
55
Lastpage :
59
Abstract :
This paper proposes a multi-project and multi-term portfolio model through considering the remaining funds in investment. The model is based on a new kind of Mean-Semi-covariance theory, which describes the uncertainty of return and risk in investment. Portfolio investment is a multi-objective optimization problem with constraints. Multi-objective evolutionary algorithm (MOEA) with greedy repair strategy is used to deal with the infeasible individuals and makes the investment reasonable. Finally, computer simulation shows that the proposed algorithm can be considered as a viable alternative.
Keywords :
evolutionary computation; greedy algorithms; investment; MOEA; greedy repair strategy; mean-semi-covariance theory; multiobjective evolutionary algorithm; multiobjective optimization problem; multiproject portfolio model; multiproject portfolio problem; multiterm portfolio model; multiterm portfolio problem; portfolio investment; Computational intelligence; Conferences; Decision support systems; Economics; Handheld computers; Investment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Financial Engineering & Economics (CIFEr), 2013 IEEE Conference on
Conference_Location :
Singapore
Type :
conf
DOI :
10.1109/CIFEr.2013.6611697
Filename :
6611697
Link To Document :
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