A genetic approach to finding a controller to back up a tractor-trailer truck

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Koza:1992:GAbtt,

• author = "John R. Koza",
• title = "A genetic approach to finding a controller to back up a tractor-trailer truck",
• booktitle = "Proceedings of the 1992 American Control Conference",
• year = "1992",
• volume = "III",
• pages = "2307--2311",
• address = "Evanston, IL, USA",
• publisher = "American Automatic Control Council",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://www.genetic-programming.com/jkpdf/acc1992.pdf",
• size = "7 page",
• abstract = "Problems of control can be viewed as requiring the discovery of a computer program (i.e. control strategy) that takes the state variables of a problem as its inputs and produces the values of the control variables as its output. This paper describes the recently developed genetic programming paradigm which genetically breeds a population of computer programs to solve problems. Genetic programming begins with a population of hundreds or thousands of random computer programs and improves them from generation to generation using the Darwinian operation of fitness proportionate reproduction and the genetic operation of sexual recombination. The sexual recombination operation combines parts of two computer programs, each selected proportional to their fitness, to produce new offspring programs. The paper shows, step by step, how to apply genetic programming to the four dimensional control problem of backing up a tractor-trailer truck to a loading dock. The genetic programming paradigm breeds an approximately correct computer program (i.e. control strategy) that successfully performs the required task.",

}

Genetic Programming entries for John Koza

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