In this paper, we study a new kind of evolutionary algorithm for global optimization over continuous Spaces, a revision of Differential evolution based on piecewise two-dimensional search.

本文研究了一种求解连续变量空间全局优化的进化算法，基于分片二维搜索的修正微分进化算法。

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The simulation experiment results show that the application of the algorithm to the study of the transit network simulation optimization is of great practical value.

仿真实验结果表明将该算法应用于公共交通网络仿真优化研究中具有很高的应用价值。

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Then the methods of fuzzy optimization and evolution programming are adopted to study the portfolio investment under a new risk concept, and an algorithm for solving the problem is given.

运用模糊优化和进化规划方法，研究新风险概念下的模糊证券组合选择，并给出了其相应算法。

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