A Genetic Approach to the Truck Backer Upper Problem and the Intertwined Spiral Problem

@inproceedings{Koza1992AGA,
  title={A Genetic Approach to the Truck Backer Upper Problem and the Intertwined Spiral Problem},
  author={John R. Koza},
  year={1992}
}
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-known benchmark problems from the field of neural networks. The truck backer upper problem is a multi-dimensional control problem and the inter-twined spirals… CONTINUE READING
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Genetic evolution and co - evolution of computer programs . In Langton , Christopher , Taylor , Charles , Farmer , J . Doyne , and Rasmussen , Steen ( editors )

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Highly Influential
5 Excerpts

Cart centering and broom balancing by genetically breeding populations of control strategy programs

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A genetic approach to artificial intelligence

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