The Automatic Modeling of Complex Functions Based on Genetic Programming
Yuzhen Huang · Acta Simulata Systematica Sinica · 2003
In this paper, we apply Genetic Programming to the automatic modeling of complex functions. In our programs the complex functions are expressed by multi-layer trees. The Genetic Operators such as Crossover and Mutation, Termination Conditions are designed respectively. Further more, we give two examples, whose results show that the models set up by Genetic Programming are better than the models set up by classical algorithms, and even better than some models designed by specialists.