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A collaborative evolutionary bi-objective portfolio selection model with DE-ACO algorithm

机译:具有DE-ACO算法的协同进化双目标组合选择模型

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The constraint of quantity and investment limit is introduced into Markowitz mean-variance (M-V) model, we establish a mean semi-absolute deviation bi-objective portfolio selection model and design a bi-objective optimization algorithm with difference-ant colony coordination evolution algorithm (DE-ACO) for empirical analysis. Numerical experiments show that model is reasonable and the DE-ACO algorithm is effective.
机译:数量和投资限制的约束被引入Markowitz均值(MV)模型,我们建立了一个平均半绝对偏差双目标组合选择模型,并设计了一种差异 - 蚁群协调演化算法的双目标优化算法( DE-ACO)用于实证分析。数值实验表明,模型是合理的,并且DE-ACO算法是有效的。

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