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

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  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
  year =         "1993",
  volume =       "III",
  pages =        "1794--1801",
  address =      "San Francisco, USA",
  publisher_address = "Piscataway, NJ, USA",
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  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

Genetic Programming entries for John Koza