用改进遗传算法研究了主动控制机构在建筑结构上的优化布置问题。
Optimal placement of actuators for structural vibration active control by genetic algorithms is discussed in this paper.
通过对实时控制曲线的研究，证明了改进遗传算法的有效性和优越性。
The curves of real-time control are researched. The effectiveness and the superiority of the improved GA are proofed.
针对平面度误差计算的特点，提出了一种基于实数编码的改进遗传算法。
According to the characteristics of flatness error evaluation, an improved genetic algorithms based on real coding is proposed.
数值实验表明，带有适应值激励机制的改进遗传算法的搜索效率得到很大提高。
Experimental results show that GAs with fitness stimulating mechanism greatly improve the efficiency compared with conventional GAs.
文章所提出的发电机组改进遗传算法具有快速搜索、易收敛和鲁棒性强的特点。
This method has some advantages: fast searching speed, easy to converge and strong robustness.
探讨了遗传算法优化PID参数的基本方法，着重研究了改进遗传算法的PID控制优化。
Also this paper discusses the basic method of ant colony algorithm to optimize PID control parameter.
探讨了遗传算法优化PID参数的基本方法，着重研究了改进遗传算法的PID控制优化。
Also this paper discusses the basic method of ant colony algorithm to optimize PID control parameter.
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