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Research on Portfolio Model Based on Multi-Objective Genetic Algorithm

机译:基于多目标遗传算法的组合模型研究

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Portfolio optimization problem is a multi-objective optimization problem, it is necessary to consider the benefits should also consider the risks and the optimal situation is to achieve the least risk and maximum return. Papers define portfolio optimization problems, analyze the shortcomings of the existing portfolio model and the corresponding solution ideas, introduce multi-objective genetic algorithm and demonstrate the feasibility of multi-objective genetic algorithm in the application portfolio. Algorithm design process, detailed process of constructing and building a portfolio investment in line with the actual situation, put forward five objective optimization model from all angles, through a reasonable, optimized simulation test, and then select the algorithm selected from a number of programs better overall performance of the program.
机译:投资组合优化问题是一个多目标优化问题,有必要考虑益处还应该考虑风险,最佳情况是达到最小的风险和最大回报。论文定义了组合优化问题,分析了现有的投资组合模型的缺点和相应的解决方案思路,引入了多目标遗传算法,并展示了应用程序组合中多目标遗传算法的可行性。算法设计过程,构建和构建投资组合投资的详细过程符合实际情况,提出了所有角度的五个客观优化模型,通过合理,优化的仿真测试,然后选择从多个程序中选择的算法更好该计划的整体表现。

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