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。
The field of genetic algorithms applications has unlimited potential.
遗传算法应用程序领域有无限的潜力。
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。
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。
Searching multi maximum is a new field in the research on genetic algorithms.
搜索多极值点问题是遗传算法研究领域内的一个新的方向。
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。
To some extent, virus infections already exhibit processes similar to genetic algorithms.
在某种程度上，计算机病毒的传播方式早就表现出了与遗传算法的某些相似之处。
Variations of viruses are also similar to mutations, another factor in genetic algorithms.
病毒发生的变化类似突变，又一个遗传算法的特征。
Genetic Algorithms have complex individual structures, its intrinsic property is randomness.
遗传算法个体数据结构复杂，随机性是其基本特性。
A fuzzy controller for ship steering based on RBF networks and genetic algorithms is designed.
设计了一种基于RBF网络和遗传优化的船舶操纵模糊控制器。
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。
In this chapter, we study and discuss the basic thoughts, principles and Simple Genetic Algorithms.
在这一章中，探讨了遗传算法的基本思想、原理和基本遗传算法。
According to the limitations of simple genetic algorithms, design genetic algorithms based on particle swarm.
针对简单遗传算法的局限性，提出了基于粒子群算法的遗传算法。
A hybrid code genetic algorithms which efficiently combines float code with gray code is proposed in this paper.
本文提出了一种结合浮点数编码和格雷码编码的混合编码遗传算法。
Genetic algorithms theory and method is first time being used to solve inverse problem of environmental hydraulics.
首次把遗传算法的理论和方法引入环境水力学反问题的求解中。
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。
This paper discusses some problems of Multi-objective Genetic Algorithms at the same time, gives some new improvements to MOGAs.
本文探讨了多目标遗传算法存在的问题，并提出了相应的改进策略。
Be sure to examine MyBeasties (see the Resources section) if you are interested in using genetic algorithms in your own applications.
如果您有兴趣在自己的应用程序中使用遗传算法，一定要研究MyBeasties(请参阅参考资料一节)。
I talk to electrical engineers who use genetic algorithms to design circuits, and the circuits end up being completely alien to humans.
我曾经和一个电学工程师聊天。这个工程师利用遗传运算设计电路，最后这个电路对人们来说却是完全陌生的。
Genetic algorithms mimic Darwinian natural selection, where "fitness" selects individuals for survival, breeding, and, hence, adaptive mutation.
遗传算法模仿达尔文的自然选择，其中“适应性”选择进行生存、繁殖以及由此而来的适应性变异的个体。
A new crowding niche genetic algorithms based on clustering analysis is proposed in this work through analysis of niche genetic algorithms.
通过对小生境遗传算法的分析，本文还提出了一种新的基于聚类分析的排挤小生境算法。
It is similar in some ways to genetic algorithms or evolutionary algorithms, but requires less computational cost and generally only a few lines of code.
这种算法在有些地方与遗传算法或竞争算法相类似，但是计算量更小，而且源程序更简单。
It is similar in some ways to genetic algorithms or evolutionary algorithms, but requires less computational cost and generally only a few lines of code.
这种算法在有些地方与遗传算法或竞争算法相类似，但是计算量更小，而且源程序更简单。
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