Parse Tree Position Measuring in Distributed Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@Article{Rubliauskas:2004:ITC,

• author = "Dalius Rubliauskas and Giedrius Paulikas and Bronislovas Kilda",
• title = "Parse Tree Position Measuring in Distributed Genetic Programming",
• journal = "Information Technology and Control",
• year = "2004",
• volume = "31",
• number = "2",
• pages = "24--28",
• keywords = "genetic algorithms, genetic programming",
• ISSN = "1392-124X",
• URL = "http://www.itc.ktu.lt/index.php/ITC/article/view/11847",
• size = "5 pages",
• abstract = "Distributed genetic programming (GP) is a step forward in optimization of the GP algorithm, but it suffers from the difficulties of setting the proper distribution parameters. One of the most important parameter classes, responsible for the migration among subpopulations, can be put under the control of flocking. The challenge in applying flocking to distributed GP lies in measuring the positions and distances between the program parse trees. This paper discusses the details of possible methods for measuring the tree position, paying the most attention to resulting distance values that are of the primary goal for a successful combination of distributed GP and flocking.",
• notes = "Kaunas University of Technology",

}

Genetic Programming entries for Dalius Rubliauskas Giedrius Paulikas Bronislovas Kilda

Citations