Comparing learning classifier systems and Genetic Programming: a case study

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@Article{Sette:2004:EAAI,

• author = "S. Sette and B. Wyns and L. Boullart",
• title = "Comparing learning classifier systems and Genetic Programming: a case study",
• journal = "Engineering Applications of Artificial Intelligence",
• year = "2004",
• volume = "17",
• pages = "199--204",
• number = "2",
• abstract = "Genetic Algorithms has given rise to two new fields of research where (global) optimisation is of crucial importance: 'genetic based machine learning' (GBML) and 'genetic programming' (GP). An advanced implementation of GBML (Fuzzy Efficiency based Classifier System, FECS, developed by the authors) and GP (as defined by Koza) are both applied to the case study 'fibre-to-yarn production process'. Results for both systems are presented and compared. Finally, the GP generated equations are transformed into rule-sets similar to those obtained from FECS.",
• owner = "wlangdon",
• URL = "http://www.sciencedirect.com/science/article/B6V2M-4C47K55-1/2/3a7744228216b3bcdb207c1665a7a10b",
• keywords = "genetic algorithms, genetic programming, Textile production process, Learning classifier systems, Rule-based machine learning",
• DOI = "doi:10.1016/j.engappai.2004.02.006",

}

Genetic Programming entries for Stefan Sette Bart Wyns Luc Boullart

Citations