Evolving Defence Strategies by Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{eurogp:Jackson05,
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author = "David Jackson",
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editor = "Maarten Keijzer and Andrea Tettamanzi and
Pierre Collet and Jano I. {van Hemert} and Marco Tomassini",
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title = "Evolving Defence Strategies by Genetic Programming",
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booktitle = "Proceedings of the 8th European Conference on Genetic
Programming",
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publisher = "Springer",
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series = "Lecture Notes in Computer Science",
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volume = "3447",
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year = "2005",
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address = "Lausanne, Switzerland",
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month = "30 " # mar # " - 1 " # apr,
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organisation = "EvoNet",
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keywords = "genetic algorithms, genetic programming: Poster",
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ISBN = "3-540-25436-6",
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pages = "281--290",
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DOI = "doi:10.1007/978-3-540-31989-4_25",
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DOI = "doi:10.1007/b107383",
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bibsource = "DBLP, http://dblp.uni-trier.de",
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abstract = "Computer games and simulations are commonly used as a
basis for analysing and developing battlefield
strategies. Such strategies are usually programmed
explicitly, but it is also possible to generate them
automatically via the use of evolutionary programming
techniques. We focus in particular on the use of
genetic programming to evolve strategies for a single
defender facing multiple simultaneous attacks. By
expressing the problem domain in the form of a {"}Space
Invaders{"} game, we show that it is possible to evolve
winning strategies for an increasingly complex sequence
of scenarios.",
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notes = "Part of \cite{keijzer:2005:GP} EuroGP'2005 held in
conjunction with EvoCOP2005 and EvoWorkshops2005",
- }
Genetic Programming entries for
David Jackson
Citations