Genetic algorithms applied with perl.
Perl用于实现遗传算法。
The main drawback of Perl for genetic algorithms is speed.
Perl用于实现遗传算法的主要缺点在于速度慢。
Genetic algorithms are a particular class of evolutionary algorithms.
遗传算法是一类特殊的进化算法。
Genetic algorithms is an effective method for random search of optimum.
遗传算法是一种新型的随机搜索寻优方法。
In this article, I cover more advanced material on genetic algorithms in Perl.
在本文中，我将介绍有关Perl遗传算法更高级的内容。
The present paper is a review of genetic algorithms used in the above field.
本文是对遗传算法在流体机械优化设计方面应用的一个综述。
Chaos genetic algorithms are the combination of chaos and genetic algorithms.
混沌和遗传算法的结合产生了混沌遗传算法。
Genetic algorithms are efficient search procedures for large scale optimization.
遗传算法是求解大型优化问题非常有效的算法。
With genetic algorithms compared with the power method, a better result is gained.
基于遗传算法求得矩阵的最大特征值，并且跟幂法进行比较，得到了较好的结果。
Genetic algorithms may let us create things too complex to design in the ordinary sense.
基因算法能让我们创造出因为太复杂而在通常条件下设计不出的东西。
Simple genetic algorithms get local optimal solution too easily and converge slowly.
基本遗传算法存在着收敛速度慢、易陷入局部最优等缺陷。
The combined method of rough sets theory and genetic algorithms is applied to data mining.
介绍应用粗集理论和遗传算法相结合进行数据挖掘的方法。
Traditional genetic algorithms have low efficiency and tend to be trapped by local optimizations.
标准遗传算法在解决旅行商问题时效率不高，容易陷于局部最优解。
Traditional genetic algorithms have low efficiency and tend to be trapped by local optimizations.
标准遗传算法在解决旅行商问题时效率不高，容易陷于局部最优解。
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