Semantic Search Techniques for Learning Smaller Boolean Expression Trees in Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@Article{journals/ijcia/MillerC14,

• author = "Nicholas C. Miller and Philip K. Chan",
• title = "Semantic Search Techniques for Learning Smaller {Boolean} Expression Trees in Genetic Programming",
• journal = "International Journal of Computational Intelligence and Applications",
• year = "2014",
• number = "3",
• volume = "13",
• month = sep,
• keywords = "genetic algorithms, genetic programming, semantic search, boolean",
• ISSN = "1469-0268",
• bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
• language = "en",
• oai = "oai:CiteSeerX.psu:10.1.1.696.8161",
• rights = "Metadata may be used without restrictions as long as the oai identifier remains attached to it.",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.696.8161",
• bibdate = "2014-10-17",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/journals/ijcia/ijcia13.html#MillerC14",
• URL = "http://cs.fit.edu/~pkc/papers/ijcia14.pdf",
• DOI = "doi:10.1142/S1469026814500187",
• size = "17 pages",
• abstract = "One sub-field of Genetic Programming (GP) which has gained recent interest is semantic GP, in which programs are evolved by manipulating program semantics instead of program syntax. This paper introduces a new semantic GP algorithm, called SGP+, which is an extension of an existing algorithm called SGP. New crossover and mutation operators are introduced which address two of the major limitations of SGP: large program trees and reduced accuracy on high-arity problems. Experimental results on deceptive Boolean problems show that programs created by the SGP+ are 3.8 times smaller while still maintaining accuracy as good as, or better than, SGP. Additionally, a statistically significant improvement in program accuracy is observed for several high-arity Boolean problems.",
• notes = "Department of Computer Sciences, Florida Institute of Technology, 150 W. University Blvd., Melbourne, FL 32901, USA",

}

Genetic Programming entries for Nicholas C Miller Philip K Chan

Citations