A Genetic Approach to the Truck Backer Upper Problem and the Inter-Twined Spiral Problem

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Koza92,
  author =       "John R. Koza",
  title =        "A Genetic Approach to the Truck Backer Upper Problem
                 and the Inter-Twined Spiral Problem",
  booktitle =    "Proceedings of IJCNN International Joint Conference on
                 Neural Networks",
  volume =       "IV",
  pages =        "310--318",
  year =         "1992",
  publisher_address = "Piscataway, NJ, USA",
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming,
                 connectionism",
  URL =          "http://www.genetic-programming.com/jkpdf/ijcnn1992.pdf",
  abstract =     "ABSTRACT Neural networks are a biologically motivated
                 problem-solving paradigm that has proven successful in
                 robustly solving a variety of problems. This paper
                 describes another biologically motivated paradigm,
                 namely genetic programming, which can also solve a
                 variety of problems. This paper explains genetic
                 programming and applies it to two well-know benchmark
                 problems from the field of neural networks. The truck
                 backer upper problem is a multi-dimensional control
                 problem and the inter-twined spirals problem is a
                 challenging classification problem.",
  notes =        "IJCNN-92

                 ",
}

Genetic Programming entries for John Koza

Citations