为了提高分割速度，给出了一种改进遗传模拟退火算法。
In order to increase the speed of segmentation, an improved genetic simulated annealing is given.
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.
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.
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.
实例调度优化结果表明：改进遗传算法能有效求解产品装配优化调度问题，在产品装配生产中有一定的应用价值。
The optimization result of instance shows that the improved algorithm introduced can converge to the globally optimal solution effectively , it is valuable at product assembly scheduling.
本文研究了总的流程时间最小的多机调度问题，建立了该问题的数学模型，并用一种改进遗传算法有效解决了该问题。
In this psper, the model of the multi - machine scheduing problem for minimizing total flow time was propssed and established.
这些改进需要恰当的遗传和繁殖生物技术的广泛应用，这无疑会提高水产养殖的产量，从而加大对全球粮食生产的贡献。
Improvements that allow the wider application of appropriate genetic and reproduction biotechnologies will undoubtedly increase aquaculture production, thus contributing to global food production.
直到现在，在林业方面几乎没有什么技术改进，也没有多少遗传方案。
Until relatively recently, there was little scope for technological improvements and few genetic options were available.
文中还将改进的实数遗传算法用于测量数据的估计中，得到了较好的线性和非线性参数估计结果。
The new algorithm is also used in parameter estimate, and the results of linear estimate and nonlinear estimate all show the effective of the improved algorithm.
对于有时间窗的非满载VSP问题，将货运量约束和软时间窗约束转化为目标约束，建立了非满载VSP模型，设计了基于自然数编码，使用最大保留交叉、改进的反转变异等技术的遗传算法。
On the VSP with time window, while the restraints of capacity and time windows are changed into object restraints, a mathematic model is established.
实验结果表明，改进算法对提高遗传算法的运算速度是可行和有效的。
Experimental results show that improved genetic algorithms are effective and practicable to enhance the calculating velocity.
实验结果表明，改进算法对提高遗传算法的运算速度是可行和有效的。
Experimental results show that improved genetic algorithms are effective and practicable to enhance the calculating velocity.
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