title: Reinvestigation of a genetic-based classifier system: the effectiveness of recombination.
abstract: An empirical study for the effectiveness of recombination in a genetic-based classifier system applied to the field of ion chromatography is presented. From a comparison of the classifier system with and without crossover it followed that recombination was unable to make a significant contribution to the classification results. Despite this ineffectiveness, the genetic algorithm was a legitimate choice for solving the present classification problem because its population-based properties were of greater importance than the issue of whether or not recombination significantly added to the performance. These findings prompt the testing of other classifier systems as well, in order to reveal the extent to which the presented results can be classified.
authors.affiliation: Laboratory for Analytical Chemistry, Catholic University of Nijmegen, The Netherlands.
authors.forename: A H
authors.initials: AH
authors.lastname: van Kampen
authors.forename: L M
authors.initials: LM
authors.lastname: Buydens
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D003434:Crossing Over, Genetic; D004260:DNA Repair; D005828:Genetics, Population; D008957:Models, Genetic; D009154:Mutation; D011995:Recombination, Genetic