• Utilizing the genetic algorithms to solve optimization goal.

    运用遗传算法求解优化目标。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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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,随机性是其基本特性。

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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网络和遗传优化的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.

    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。

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

    针对简单遗传算法的局限性,提出了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和格雷码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.

    首次把遗传算法的理论和方法引入环境水力学反问题的求解中。

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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,改进算法对提高遗传算法的运算速度是可行和有效的。

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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,具有适用广泛和计算稳定等特性。

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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的问题,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)。

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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.

    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。

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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。

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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。

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

    在把传统的遗传算法应用于优化分配问题时,会出现冲突、空缺和无解等现象。

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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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  • 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.

    许多其他的人工智能技术也被应用到这类程序中,例如神经网络,遗传算法和协同计算。

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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,遗传算法将迅速成为不仅可行而且更优越的方法。

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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).

    在计算机学习用户程序中,Hadoop已经作为处理大量GA个体的规模遗传算法的一种方法(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).

    在计算机学习用户程序中,Hadoop已经作为处理大量GA个体的规模遗传算法的一种方法(潜在解决方案)。

    youdao

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