Goal-oriented preservation of essential genetic information by offspring selection

This contribution proposes an enhanced and generic selection model for Genetic Algorithms (GAs) and Genetic Programming (GP) which is able to preserve the alleles which are part of a high quality solution. Some selected aspects of these enhanced techniques are discussed exemplarily on the basis of standardized benchmark problems. Categories and Subject Descriptors I.2.8 [Artificial Intelligence]: Problem Solving, Control Methods, and Search—heuristic methods General Terms Algorithms theory Keywords Genetic Algorithms, selection, adaptation/self adaptation

• Type: Conference
• Year: 2005
• Where: GECCO
• Authors: Michael Affenzeller, Stefan Wagner 0002, Stephan M. Winkler
• Keywords: GECCO 2005, Generic Selection Model, Genetic Algorithms, Keywords Genetic Algorithms