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Multi-objective evolutionary algorithm for multi-project and multi-term portfolio problem

机译:多项目多项目组合问题的多目标进化算法

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摘要

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.
机译:本文通过考虑剩余的投资资金,提出了一个多项目,多期限的投资组合模型。该模型基于一种新型的均值-半协方差理论,该理论描述了投资回报率和风险的不确定性。证券投资是一个带有约束的多目标优化问题。采用带有贪婪修复策略的多目标进化算法(MOEA)来处理不可行的个体并使投资合理。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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