• The field of genetic algorithms applications has unlimited potential.

    遗传算法应用程序领域无限潜力

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  • Searching multi maximum is a new field in the research on genetic algorithms.

    搜索极值点问题遗传算法研究领域一个新的方向。

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  • To some extent, virus infections already exhibit processes similar to genetic algorithms.

    某种程度上计算机病毒传播方式早就表现出了遗传算法的某些相似之处

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  • Variations of viruses are also similar to mutations, another factor in genetic algorithms.

    病毒发生变化类似突变又一个遗传算法的特征。

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  • 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基本特性

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  • A fuzzy controller for ship steering based on RBF networks and genetic algorithms is designed.

    设计了一种基于RBF网络遗传优化船舶操纵模糊控制器

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  • The results indicate that parallel genetic algorithms can improve convergence speed efficiently.

    算法分析表明,并行遗传算法可以有效地提高收敛速度

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  • In this chapter, we study and discuss the basic thoughts, principles and Simple Genetic Algorithms.

    一章中,探讨遗传算法的基本思想原理基本遗传算法。

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  • Goal of the project is to see will both sides learn some new behavior over time using genetic algorithms.

    项目目标双方学习一些新的行为随着时间的推移使用遗传算法。

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  • According to the limitations of simple genetic algorithms, design genetic algorithms based on particle swarm.

    针对简单遗传算法局限性提出基于粒子群算法的遗传算法。

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  • 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格雷编码的混合编码遗传算法

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  • Genetic algorithms theory and method is first time being used to solve inverse problem of environmental hydraulics.

    首次把遗传算法理论方法引入环境水力学问题求解中。

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  • 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提高遗传算法运算速度可行有效的。

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  • The results show that the system of high speed milling parameters optimization based on genetic algorithms is practicability.

    结果表明基于遗传算法高速铣削参数优化系统具有较强的实用性。

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  • Using genetic algorithms in the issue of tracks arrangement has advantages of versatile application and computation stability.

    采用遗传算法求解整备区股道安排问题具有适用广泛计算稳定等特性。

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  • 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问题,并提出了相应的改进策略

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  • Be sure to examine MyBeasties (see the Resources section) if you are interested in using genetic algorithms in your own applications.

    如果兴趣自己的应用程序使用遗传算法一定研究MyBeasties(请参阅参考资料一节)。

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  • I talk to electrical engineers who use genetic algorithms to design circuits, and the circuits end up being completely alien to humans.

    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。

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  • 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个体

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  • 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分析,本文提出了一种新的基于聚类分析的排挤小生境算法。

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  • The conflict, vacancy and unfeasible solutions may appear when the traditional genetic algorithms are applied into the optimizing allocation.

    传统遗传算法应用于优化分配问题出现冲突空缺解等现象。

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  • 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.

    这种算法有些地方遗传算法竞争算法相类似但是计算小,而且程序更简单。

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  • There are many other AI techniques that can be implemented and tried in a Chess program, such as neural networks, genetic algorithms, and collaborative computing.

    许多其他人工智能技术应用到这类程序例如神经网络遗传算法协同计算

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  • If quantum supercomputers are ever developed, genetic algorithms will suddenly become not only feasible, but preferable as an approach to solving certain problems.

    如果量子超级计算机开发成功,那么对于解决某些问题遗传算法迅速成为不仅可行而且更优越方法

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  • In machine learning applications, Hadoop has been used as a way to scale genetic algorithms for processing large populations of GA individuals (potential solutions).

    计算机学习用户程序中Hadoop已经作为处理大量GA个体规模遗传算法一种方法(潜在解决方案)。

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  • In machine learning applications, Hadoop has been used as a way to scale genetic algorithms for processing large populations of GA individuals (potential solutions).

    计算机学习用户程序中Hadoop已经作为处理大量GA个体规模遗传算法一种方法(潜在解决方案)。

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