Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Genetic programming II: automatic discovery of reusable programs
Genetic programming II: automatic discovery of reusable programs
Advances in genetic programming
Advances in genetic programming
Evolving recursive functions for the even-parity problem using genetic programming
Advances in genetic programming
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Inductive Logic Programming (ILP) and Genetic Programming (GP) are two approaches in program induction. However, they are restricted in the computer languages in which programs can be induced. Generic Genetic Programming (GGP) is a novel, powerful, and general approach that combines ILP and GP. Using GGP, programs in various programming languages such as Lisp, Prolog, and Fuzzy Prolog can be evolved. The approach is also powerful enough to handle context-sensitive information and domain-dependent knowledge. In this paper, we describe the details of an implementation of GGP called LOGENPRO (The LOgic grammars based GENetic PROgramming system).