Artificial Evolution of Arbitrary Self-Replicating Structures
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{DBLP:journals/jca/PanR06,
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author = "Zhijian Pan and James A. Reggia",
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title = "Artificial Evolution of Arbitrary Self-Replicating
Structures",
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journal = "Journal of Cellular Automata",
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year = "2006",
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volume = "1",
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number = "2",
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pages = "105--123",
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bibsource = "DBLP, http://dblp.uni-trier.de",
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keywords = "genetic algorithms, genetic programming,
ArbitrarySelf",
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ISSN = "1557-5969",
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URL = "http://www.oldcitypublishing.com/journals/jca-home/jca-issue-contents/jca-volume-1-number-2-2006/jca-1-2-p-105-123/",
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URL = "http://www.oldcitypublishing.com/pdf/878",
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broken = "http://www.oldcitypublishing.com/JCA/JCAabstracts/JCA1.2abstracts/JCAv1n2p105-123Pan.html",
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abstract = "Numerous computational studies over the last half
century have sought to create self-replicating
structures or 'machines'. Cellular automata (CA) have
been the most widely used method in these studies, with
manual designs yielding a number of specific structures
or configurations capable of self-replication. While
previous attempts at automated design of
self-replicating structures using genetic algorithms
have produced some interesting results, these studies
were limited by the enormous computational costs
incurred. In this paper we describe our recent use of
genetic programming (GP) methods to automatically
discover CA rule sets that produce self-replication of
arbitrary given structures. Our initial results have
produced larger, more rapidly replicating structures
than past evolutionary models while requiring only a
small fraction of the computational time needed in past
similar studies. We conclude that genetic programming
provides a very powerful tool for discovering novel CA
models of self-replicating systems and possibly other
complex systems.",
- }
Genetic Programming entries for
Zhijian Pan
James A Reggia
Citations