Contribution based bloat control in Genetic Programming

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

@InProceedings{Song:2010:cec,

• author = "Andy Song and Dunhai Chen and Mengjie Zhang",
• title = "Contribution based bloat control in Genetic Programming",
• booktitle = "IEEE Congress on Evolutionary Computation (CEC 2010)",
• year = "2010",
• address = "Barcelona, Spain",
• month = "18-23 " # jul,
• publisher = "IEEE Press",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-1-4244-6910-9",
• abstract = "Unnecessary growth in program size is known as the bloat problem in Genetic Programming. Bloat not only increases computational expenses during evolution, but also impairs the understandability and execution performance of evolved final solutions. There are a large number of studies addressing this problem. In this paper, we present an effective bloat control mechanism which is based on examining the contribution of each function node in the selected programs. Nodes without contribution will be removed before generating offspring. This method has been applied to various tasks. The results show that it can significantly reduce program size without damping the fitness of individuals. In some cases it increases the performance of the final solutions. Furthermore it does not require extra computational resources to perform the control whilst it speeds up evolution processes because of the saving in evaluation costs.",
• DOI = "doi:10.1109/CEC.2010.5586372",
• notes = "WCCI 2010. Also known as \cite{5586372}",

}

Genetic Programming entries for Andy Song Dunhai Chen Mengjie Zhang

Citations