多项目多期限投资组合问题的多目标进化算法

Yuan Zhou, Hai-Lin Liu, Wenqin Chen
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引用次数: 0

摘要

本文在考虑投资剩余资金的基础上,提出了一个多项目、多期限的投资组合模型。该模型基于一种新的均值-半协方差理论,该理论描述了投资收益和风险的不确定性。证券投资是一个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)处理不可行个体,使投资合理化。最后,计算机仿真表明,该算法是一种可行的替代方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-objective evolutionary algorithm for multi-project and multi-term portfolio problem
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.
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