期刊名称：International Journal of Knowledge Engineering and Management (IJKEM)
印刷版ISSN：2316-6517
出版年度：2012
卷号：1
期号：1
页码：1-8
语种：English
出版社：International Journal of Knowledge Engineering and Management (IJKEM)
摘要：Genetic Algorithms is based on the assumption that nature can teach us how to develop artifacts able to comply with restrictions imposed by the environments. Those artifacts can be concrete or mental. In this article the authors propose the concept of Geometric Genetic Programming (GGP), which opens a wide variety of opportunities for applying the concepts of Genetic Programming (GP) to engineering problems. This papers shows how it is possible to evolve to well known, or even completely new designs starting just with a set of physical laws and a fitness function. To show how GGP works the challenge is to produce the most common machine in nature, the wheel.
