Size Control with Maximum Homologous Crossover

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{DBLP:conf/ae/Defoin-PlatelCC05,

• author = "Michael Defoin-Platel and Manuel Clergue and Philippe Collard",
• title = "Size Control with Maximum Homologous Crossover",
• year = "2005",
• pages = "13--24",
• editor = "El-Ghazali Talbi and Pierre Liardet and Pierre Collet and Evelyne Lutton and Marc Schoenauer",
• publisher = "Springer",
• series = "Lecture Notes in Computer Science",
• volume = "3871",
• ISBN = "3-540-33589-7",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• booktitle = "7th International Conference on Artificial Evolution EA 2005",
• address = "Lille, France",
• month = oct # " 26-28",
• note = "Revised Selected Papers",
• keywords = "genetic algorithms, genetic programming, Maximum Homologous Crossover, MHC, stack-based GP",
• URL = "https://hal.archives-ouvertes.fr/hal-00159738/document",
• DOI = "doi:10.1007/11740698_2",
• size = "12 pages",
• abstract = "Most of the Evolutionary Algorithms handling variable-sized structures, like Genetic Programming, tend to produce too long solutions and the recombination operator used is often considered to be partly responsible of this phenomenon, called bloat. The Maximum Homologous Crossover (MHC) preserves similar structures from parents by aligning them according to their homology. This operator has already demonstrated interesting abilities in bloat reduction but also some weaknesses in the exploration of the size of programs during evolution. we show that MHC do not induce any specific biases in the distribution of sizes, allowing size control during evolution. Two different methods for size control based on MHC are presented and tested on a symbolic regression problem. Results show that an accurate control of the size is possible while improving performances of MHC.",
• notes = "published 2006",

}

Genetic Programming entries for Michael Defoin Platel Manuel Clergue Philippe Collard

Citations