GEP Book

  GEP Biblio

  Visit Gepsoft


C. FERREIRA Complex Systems, 13 (2): 87-129, 2001

Gene Expression Programming: A New Adaptive Algorithm for Solving Problems

Six Examples of Gene Expression Programming in Problem Solving
The suite of problems chosen to illustrate the functioning of this new algorithm is quite varied, including not only problems from different fields (symbolic regression, planning, Boolean concept learning, and cellular automata rules) but also problems of great complexity (cellular automata rules for the density-classification task).

Home | Contents | Previous | Next