A new method of using genetic algorithm to optimize ventilation system was presented in the paper.
提出了一种用遗传算传法优化通风系统的新方法。
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。
Then camera self-calibration was applied by using the bundle adjustment algorithm to optimize the initial values.
使用环形编码标志点实现相机姿态自动定向，将相机自标定技术应用于光束平差，用于优化测量结果。
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。
To compare with several optimal methods in common use, it is excellent to apply to ant colony algorithm to optimize public transit networks.
在分析比较几种常用优化算法的基础上，采用蚁群算法进行公交线网优化，效果较好。
In this paper, the clonal selection mechanism of the immune system is used and modified to introduce an advanced algorithm to optimize functions.
论文利用免疫系统的克隆选择机制，提出一种用于函数优化的改进克隆选择算法。
Forseveral bus lines in Guangzhou City example, the use of indicators model line scheduling algorithm to optimize the evaluation made a simple algorithm.
并以广州市中的几条线路为例，运用指标模型算法对线路的调度优化评价提出简单算法。
Based on the characteristics of the problem, simulated annealing algorithm was combined with tabu search algorithm to optimize the frequency of BRT line combination.
根据问题的特点，将禁忌算法与模拟退火算法相结合，对BRT线路组合的频率进行优化。
For path planning in the unknown environment, it is useful that the robot can modify its algorithm to optimize the path, so that it can be adaptive to different kinds of environments.
对于未知环境下的路径规划，要求机器人有适应不同环境的能力，能针对不同环境自动调整规划算法以优化路径。
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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