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A Novel Multi-objective Evolutionary Algorithm Solving Portfolio Problem

机译:一种新的解决投资组合问题的多目标进化算法

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With the improvement of complex and uncertain finance environment, the difficulty of portfolio problem is increasing. Whether or not the projects is successfully selected, directly affects the development of the investment companies. This paper firstly talks about the finance conditions in single term investment and then extends the investment from one term to many terms. After that, a multi-project and multi-term portfolio model through considering the remaining funds in different investment terms is proposed. The model is based on a new kind of Mean-Semi-covariance theory, which can describe the uncertainty of return and risk in investment. The 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.
机译:随着复杂多变的金融环境的改善,投资组合问题的难度越来越大。是否成功选择项目,直接影响到投资公司的发展。本文首先讨论了单项投资的财务状况,然后将投资从一项扩大到多项。在此基础上,提出了一种考虑不同投资条件下剩余资金的多项目多期限投资组合模型。该模型基于一种新型的均值-半协方差理论,可以描述投资回报率和风险的不确定性。证券投资是具有约束的多目标优化问题。采用贪婪修复策略的多目标进化算法(MOEA)对付不可行的个体,使投资合理。最后,计算机仿真表明,所提出的算法可以被认为是可行的选择。

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