在 中文 中使用 遗传算法 的示例及其翻译为 英语
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但对霍兰德来说，遗传算法的真正威力在于更为复杂的东西：性。
But for Holland, the real power of genetic algorithms lay in something more complicated: sex.或者，也许可以使用遗传算法来维护和评估一组策略。
Or, perhaps, a genetic-style algorithm could be used that would maintain and evaluate 中国人工智能人才则倾向于投入遗传算法、神经网络和故障诊断方面。
Chinese artificial intelligence talents tend to invest in genetic algorithms, neural networks and fault diagnosis.JohnKoza是前斯坦福大学教授，ScientificGames公司的创始人，也是遗传算法的另一名先驱人物。
John Koza, former Stanford professor and founder 因此，他针对这个问题提出了一个“宽松”的公式“近似ASP（a-ASP）”，可以在多项式时间内使用共同进化遗传算法解决。
He thus proposes a"relaxed" formulation of the problem, approximate-ASP(a-ASP), which can be solved in polynomial time using co-evolutionary genetic algorithms.Yohann特别分析的市场区隔包括大数据分析的算法、深度/机器学习，遗传算法，均为人工智能（AI）技术的衍生。
Market segments especially analyzed by Yohann include big data analysis 和遗传算法一样，强化学习是一种非监督学习。
Like genetic algorithms, Reinforcement Learning is an unsupervised learning problem.该方法和遗传编程以及遗传算法均有相似之处。
The method is similar in the idea with both 为了进行预测，我使用非常接近于目前的遗传算法的方法。
For prediction, I used a technique close to today's genetic algorithms.因此，虽然有用，当前的遗传算法还远远不是故事的结局。
So, while helpful, current genetic algorithms are far from the end of the story.神经网络和遗传算法也已被用来实现这些模型。
Neural networks and genetic programming have been used to create these models.Evolver的遗传算法不断尝试新的不同解法，以生成最佳可能解法。
Evolver's genetic algorithms constantly try new, different solutions to arrive at the best answer possible.Koza,John(1992),遗传算法：通过自然选择编写计算机程序.
KOZA, J.(1992) Genetic Programming: On the 这种方法主要利用遗传算法，能够快速搜索55000个MOF材料数据库。
By applying a genetic algorithm, they have been able to search rapidly through 这种方法主要利用遗传算法，能够快速搜索55000个MOF材料数据库。
By applying a genetic algorithm, they rapidly searched through 例如，遗传算法依照规则，但是并不始终保存上一步的最好结果：.
For example, genetic algorithms follow a rule but the best solution of the last step is not often kept.在机器学习中，遗传算法在20世纪80年代和90年代发现了一些用途。
In machine learning, genetic algorithms found some uses in the 1980s and 1990s.数学模型基于知识的系统语法遗传算法自我学习的系统混合系统.
Mathematical models knowledge-based systems grammars evolutionary methods systems which learn hybrid systems.使用类似于自然选择的进程，遗传算法通过生产最佳的解决方案来解决问题。
Using a process similar to natural selection, genetic algorithms solve problems by breeding the fittest solution.传统的遗传算法只允许在狭窄问题和单一进化手段的范围内进行进化。
Conventional genetic algorithms only allow evolution within the narrow confines of a narrow problem, and a single means of evolution.
