Cartesian Genetic Programming - From foundations to recent developments and applications

Genetic and Evolutionary Computation Conference Companion (GECCO Companion), pp. 1688–1704

Abstract

Definition (Genetic Programming)Let Θ be a population of |Θ| individuals and let Ω be the population of the following generation: Each individual is represented with a genetic program and a fitness value Genetic Programming transforms Θ → Ω by the adaptation of selection, recombination and mutationRoman Kalkreuth Sylvain Cussat-Blanc Dennis G.

Authors 3

1. Roman Kalkreuth Aachen Chair for Artificial Intelligence Methodology Faculty of Mathematics, Computer Science and Natural Sciences

   RWTH Aachen University

   Affiliation as printed

   Chair for Artificial Intelligence Methodology Faculty of Mathematics, Computer Science and Natural Sciences RWTH Aachen University (Aachen, Germany), Aachen, Germany

2. Sylvain Cussat‐Blanc

   Centre National de la Recherche Scientifique · Institut Universitaire de France · Institut de Recherche en Informatique de Toulouse

   Affiliation as printed

   University Toulouse Capitole, IRIT - CNRS UMR5505, Institut Universitaire de France, Toulouse, France

3. Dennis G. Wilson

   Université de Toulouse · Institut Supérieur de l'Aéronautique et de l'Espace (ISAE-SUPAERO)

   Affiliation as printed

   ISAE-Supaero, University of Toulouse, Toulouse, France, Toulouse, France