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A hybrid intelligent algorithm for portfolio selection problem with fuzzy returns
Li, Xiang ; Zhang, Yang ; Wong, Hau-San ; Qin, Zhongfeng
2010-10-12 ; 2010-10-12
关键词Portfolio selection Fuzzy variable Simulated annealing Neural network Fuzzy simulation Credibility measure VARIANCE-SKEWNESS MODEL POSSIBILITY DISTRIBUTIONS PROGRAMMING APPROACH TRANSACTION COSTS CROSS-ENTROPY OPTIMIZATION RISK PREFERENCE INSURANCE VARIABLES Mathematics, Applied
中文摘要Portfolio selection theory with fuzzy returns has been well developed and widely applied. Within the framework of credibility theory, several fuzzy portfolio selection models have been proposed such as mean-variance model, entropy optimization model, chance constrained programming model and so on. In order to solve these nonlinear optimization models, a hybrid intelligent algorithm is designed by integrating simulated annealing algorithm, neural network and fuzzy simulation techniques, where the neural network is used to approximate the expected value and variance for fuzzy returns and the fuzzy simulation is used to generate the training data for neural network. Since these models are used to be solved by genetic algorithm, some comparisons between the hybrid intelligent algorithm and genetic algorithm are given in terms of numerical examples, which imply that the hybrid intelligent algorithm is robust and more effective. in particular, it reduces the running time significantly for large size problems. (C) 2009 Elsevier B.V. All rights reserved.
语种英语 ; 英语
出版者ELSEVIER SCIENCE BV ; AMSTERDAM ; PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
内容类型期刊论文
源URL[http://hdl.handle.net/123456789/81277]  
专题清华大学
推荐引用方式
GB/T 7714
Li, Xiang,Zhang, Yang,Wong, Hau-San,et al. A hybrid intelligent algorithm for portfolio selection problem with fuzzy returns[J],2010, 2010.
APA Li, Xiang,Zhang, Yang,Wong, Hau-San,&Qin, Zhongfeng.(2010).A hybrid intelligent algorithm for portfolio selection problem with fuzzy returns..
MLA Li, Xiang,et al."A hybrid intelligent algorithm for portfolio selection problem with fuzzy returns".(2010).
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