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。
Based on these, an algorithm to optimize MDS codes is introduced by analyzing the complexity of bit parallel multipliers.
在此基础上，借助于对比特级并行乘法器的复杂度的分析，给出了一个优化最大距离可分码的算法。
The key in using particle swarm algorithm to optimize the scheduling problem is to find an effective and feasible encoding structure.
利用粒子群算法求解调度问题的关键是建立有效的粒子编码结构。
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