Evolving Program Trees with Limited Scope Variable Declarations

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@InProceedings{Castle:2012:CEC,

• title = "Evolving Program Trees with Limited Scope Variable Declarations",
• author = "Tom Castle and Colin G. Johnson",
• pages = "2250--2257",
• booktitle = "Proceedings of the 2012 IEEE Congress on Evolutionary Computation",
• year = "2012",
• editor = "Xiaodong Li",
• month = "10-15 " # jun,
• address = "Brisbane, Australia",
• organization = "IEEE Computational Intelligence Society",
• publisher = "IEEE Press",
• URL = "http://www.cs.kent.ac.uk/pubs/2012/3213/index.html",
• DOI = "doi:10.1109/CEC.2012.6256547",
• ISBN = "0-7803-8515-2",
• keywords = "genetic algorithms, genetic programming, imperative, sfgp, variables",
• abstract = "Variables are a fundamental component of computer programs. However, rarely has the construction of new variables been left to the evolutionary process of a tree- based Genetic Programming system. We present a series of modifications to an existing GP approach to allow the evolution of high-level imperative programs with limited scope variables. We make use of several new program constructs made possible by the modifications and experimentally compare their use. Our results suggest the impact of variable declarations is problem dependent, but can potentially improve performance. It is proposed that the use of variable declarations can reduce the degree of insight required into potential solutions.",
• notes = "WCCI 2012. CEC 2012 - A joint meeting of the IEEE, the EPS and the IET.",

}

Genetic Programming entries for Tom Castle Colin G Johnson

Citations