Inductive Genetic Programming with Decision Trees

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{Nikolaev:1997:iGPdt,

• author = "Nikolay I. Nikolaev and Vanio Slavov",
• title = "Inductive Genetic Programming with Decision Trees",
• booktitle = "9th European Conference on Machine Learning",
• year = "1997",
• editor = "Maarten {van Someren} and Gerhard Widmer",
• volume = "1224",
• series = "Lecture Notes in Computer Science",
• pages = "183--190",
• address = "Prague, Czech Republic",
• month = "23-26 " # apr,
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, Computer Science",
• isbn13 = "978-3-540-62858-3",
• broken = "http://www.aubg.bg/faculty/cs/nikolaev/papers/ecml97.ps.gz",
• DOI = "doi:10.1007/3-540-62858-4_83",
• size = "8 pages",
• abstract = "This paper proposes an empirical study of inductive Genetic Programming with Decision Trees. An approach to development of fitness functions for efficient navigation of the search process is presented. It relies on analysis of the fitness landscape structure and suggests measuring its characteristics with statistical correlations. We demonstrate that this approach increases the global landscape correlation, and thus leads to mitigation of the search difficulties. Another claim is that the elaborated fitness functions help to produce decision trees with low syntactic complexity and high predictive accuracy.",
• notes = "ECML-97",
• affiliation = "American University in Bulgaria Department of Computer Science 2700 Blagoevgrad Bulgaria",

}

Genetic Programming entries for Nikolay Nikolaev Vanio Slavov

Citations