Fuzzy adaptive programming algorithm based on particle swarm multi-optimum is proposed on the basis of the static particle swarm multi-optimum information programming mode.

在静态的微粒群多元最优信息规划模式的基础上，提出了微粒群多元最优信息的模糊自适应规划算法。

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Adaptive planning for each iteration directed by the customer is fundamental to an agile programming style, and the advantages can easily be exploited in other development environments.

由客户指导的每个迭代阶段的适应计划对敏捷的程序设计风格来说是基本的，并且在其他的开发环境中可以很容易地利用这些优势。

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Adaptive evolutionary programming is used to optimize the structure and parameters simultaneously.

利用自适应进化规划同时优化规则基的结构和参数。

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It greatly simplifies parallel programming, enabling GPU acceleration of a broader set of popular algorithms, such as adaptive mesh refinement, fast multipole methods and multigrid methods.

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