During the solving course of hidden space support vector machine, this paper introduces the Particle Swarm Optimize Algorithms.

在隐空间中支持向量机求解过程中，引入改进粒子群算法用于搜索空间的迭代。

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The improved particle swarm optimization (PSO) is used to optimize the PID controller parameters.

应用改进的粒子群优化算法优化PID参数。

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To optimize the damage probability, the particle swarm optimization algorithm (PSO) is adopted to optimize the system parameters, based on above models.

以上述模型为基础，以毁伤概率为优化目标，采用微粒群算法（PSO）对该系统待优化的各参量进行综合优化。

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