A practical technology of combining genetic programming with artificial intelligence
Zhenchao Wang, Pei Dong Du · 2010
In applying genetic programming (GP) to a problem, it is difficult to select the set of terminals, the fitness measure, and the set of primitive functions. Correspondingly, GP often cannot converge to a physical significant solution efficiently. A practical technology of combining artificial intelligence with GP (AIGP) is proposed to increase the speed of converging. In AIGP some rules are used to optimize the individuals created by genetic operations of reproduction, crossover, and mutation based on the principal of artificial intelligence. Two experiments are provided to testify the effectiveness of AIGP.