遗传算法:行为演变 [英] Genetic algorithms: evolving behaviour

问题描述

我正在寻找有关使用遗传算法而不是参数值来发展算法行为/决策策略的材料.

I'm looking for material on using genetic algorithms to evolve algorithmic behaviour/decision strategies, rather than parametric values.

我找不到很多.有人能指出我正确的方向吗?链接很棒，但是我想我可以使用搜索关键字，我不知道并且应该寻找的技术术语等.

I can't find much. Could someone please point me in the right direction? Links would be awesome, but I guess I'd be okay with search keywords, technichal terminology I don't know about and should be looking for, etc.

推荐答案

正如Gordon Murray Dent所说，当使用进化编程来创建函数时，通常称为遗传编程"，而遗传算法"通常是指(某种程度上奇怪地)进行功能参数优化.

As Gordon Murray Dent said, when evolutionary programming is used to create functions, it's generally referred to as "genetic programming" while "genetic algorithms" typically refers (somewhat oddly) to function parameter optimization.

关于基因编程的经典著作是Koza的书，仍然非常相关，尤其是当您碰巧是LISP开发人员时.他的网站 http://www.genetic-programming.com/应该会为您提供其他资源的大量潜在客户

The classic texts on genetic programming are Koza's books, which are still VERY relevant especially if you happen to be a LISP developer. His Website http://www.genetic-programming.com/ should give you plentiful leads for other resources.

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