Genetic Programming with Smooth Operators for Arithmetic Expressions: Diviplication and Subdition

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

@InProceedings{ursem:2002:gpwsofaedas,

• author = "Rasmus K. Ursem and Thiemo Krink",
• title = "Genetic Programming with Smooth Operators for Arithmetic Expressions: Diviplication and Subdition",
• booktitle = "Proceedings of the 2002 Congress on Evolutionary Computation CEC2002",
• editor = "David B. Fogel and Mohamed A. El-Sharkawi and Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and Mark Shackleton",
• pages = "1372--1377",
• year = "2002",
• publisher = "IEEE Press",
• publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331, USA",
• organisation = "IEEE Neural Network Council (NNC), Institution of Electrical Engineers (IEE), Evolutionary Programming Society (EPS)",
• ISBN = "0-7803-7278-6",
• month = "12-17 " # may,
• notes = "CEC 2002 - A joint meeting of the IEEE, the Evolutionary Programming Society, and the IEE. Held in connection with the World Congress on Computational Intelligence (WCCI 2002)",
• keywords = "genetic algorithms, genetic programming, arithmetic expressions, search space, smooth operators, system identification problem, search problems",
• URL = "http://www.evalife.dk/publications/RKU_CEC2002_smooth_operators.ps.gz",
• URL = "http://citeseer.ist.psu.edu/527466.html",
• DOI = "doi:10.1109/CEC.2002.1004443",
• abstract = "This paper introduces the smooth operators for arithmetic expressions as an approach to smoothing the search space in Genetic Programming (GP). Smooth operator GP interpolates between arithmetic operators such as times and divide, thereby allowing a gradual adaptation to the problem. The suggested approach is compared to traditional GP on a system identification problem",

}

Genetic Programming entries for Rasmus K Ursem Thiemo Krink

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