Genetically breeding populations of computer programs to solve problems in artificial intelligence

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@InProceedings{Koza:1990:GPai,

• author = "John R. Koza",
• title = "Genetically breeding populations of computer programs to solve problems in artificial intelligence",
• booktitle = "Proceedings of the Second International Conference on Tools for AI",
• year = "1990",
• pages = "819--827",
• address = "Herndon, Virginia, USA",
• month = "6-9 " # nov,
• publisher = "IEEE Computer Society Press, Los Alamitos, CA, USA",
• keywords = "genetic algorithms, genetic programming, artificial ant, artificial intelligence, computer programs, evader, game tree, genetic breeding, genetic programming paradigm, hierarchical computer programs, independently acting pursuer, irregular trail, minimax control strategy, simple discrete two-person game, computer games, discrete systems, knowledge based systems, minimax techniques, problem solving",
• URL = "http://www.genetic-programming.com/jkpdf/tai1990.pdf",
• DOI = "doi:10.1109/TAI.1990.130444",
• size = "10 of 9 pages",
• abstract = "This paper describes the recently developed 'genetic programming' paradigm which genetically breeds populations of computer programs to solve problems. In genetic programming, the individuals in the population are hierarchical computer programs of various sizes and shapes. Three applications to problems in artificial intelligence are presented.",

}

Genetic Programming entries for John Koza

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