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。
Using the PSO algorithm to optimize the on-line PID controller's parameters, desirable control effect is obtained.
通过运用PSO算法对PID控制器参数进行在线调整，使模型参考自适应控制达到理想的控制效果。
It makes the search space some sub-region, USES the PSO algorithm to optimize in each region, compares these sub - region global optimums and finds out the search space global optimums.
将搜索空间划分成若干个子区域，在各个子区域中均使用标准P SO算法进行寻优，通过比较各个子区域的全局最优解，从而得出整个搜索空间的全局最优。
It makes the search space some sub-region, USES the PSO algorithm to optimize in each region, compares these sub - region global optimums and finds out the search space global optimums.
将搜索空间划分成若干个子区域，在各个子区域中均使用标准P SO算法进行寻优，通过比较各个子区域的全局最优解，从而得出整个搜索空间的全局最优。
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