Simultaneous discovery of detectors and a way of using the detectors via genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7642

@InProceedings{Koza:1993:sddGP,

• author = "John R. Koza",
• title = "Simultaneous discovery of detectors and a way of using the detectors via genetic programming",
• booktitle = "1993 IEEE International Conference on Neural Networks",
• year = "1993",
• volume = "III",
• pages = "1794--1801",
• address = "San Francisco, USA",
• publisher_address = "Piscataway, NJ, USA",
• publisher = "IEEE",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://www.genetic-programming.com/jkpdf/icnn1993pattern.pdf",
• abstract = "Conventional approaches to problems of pattern recognition and machine learning usually require that the user hand-craft detectors for key features in the problem environment. Conventional approaches often additionally require the user to specify in advance the size and shape of the eventual way of combining the detectors into a compete solution. This paper describes a general approach for simultaneously discovering detectors and a way of combining the detectors to solve a problem via genetic programming with automatic function definition. Genetic programming provides a way to genetically breed a computer program to solve a wide variety of problems. Automatic function definition automatically and dynamically enables genetic programming to define potentially useful functions dynamically during a run and to facilitate a solution of a problem by automatically and dynamically decomposing the problem into simpler subproblems. This approach is illustrated with a problem of letter recognition.",

}

Genetic Programming entries for John Koza

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