自1994年以来，IEEE进化计算国际会议就设置了“GP”的专题，对GP的算法、理论、数据结构等方面进行研究。
Since 1994, the international evolutionary computation conference of IEEE has established the "GP" topic, which is to research GP algorithm, theory, and data structure and so on.
因此用进化策略、差分演化算法、泛函网络来研究数值计算，有较高的理论价值和实际意义。
So, researching numerical computing by Evolution Strategy, Differential Evolution Algorithm and Functional Networks have higher theory value and practical significance.
本文应用进化与分类学理论，提出一种基于多属性的本体概念相似度计算方法。
In this paper, we propose a novel multi properties-based concepts similarity calculation under the theory of evolution and taxonomy.
计算动词理论的提出解决了这一问题，它运用进化函数对人类思维中的动态部分进行建模。
The Computational verb theory, which USES evolution functions to model the dynamic facets of human thinking, has solved the problem of modeling dynamics in natural languages.
分布估计算法由于其较强的理论基础已成为进化计算研究的新热点。
Estimation of Distribution algorithms (EDAs) are new evolutionary algorithms based on probabilistic model and have become a new focus in the field of evolutionary computation.
分布估计算法由于其较强的理论基础已成为进化计算研究的新热点。
Estimation of Distribution algorithms (EDAs) are new evolutionary algorithms based on probabilistic model and have become a new focus in the field of evolutionary computation.
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