进化计算是基于遗传学和自然演化思想的一个解决优化、搜索和学习问题的有效方法。
Evolutionary computation is an effective method to solve optimization, search and learning problems, inspired by genetics and nature evolution.
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.
行为AI和演化计算则基于达尔文进化论思想，从与环境实时互动联系的角度，实现对传统AI局限的突破。
Behavior AI and evolution calculation based on the theory of evolution, broke out the limit of tradition AI, by the way of inter connection with environment.
行为AI和演化计算则基于达尔文进化论思想，从与环境实时互动联系的角度，实现对传统AI局限的突破。
Behavior AI and evolution calculation based on the theory of evolution, broke out the limit of tradition AI, by the way of inter connection with environment.
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