Ecological Model Selection via Evolutionary Computation and Information Theory.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/gpem/HoffmannEBB04
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dcterms:
bibliographicCitation
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http://dblp.uni-trier.de/rec/bibtex/journals/gpem/HoffmannEBB04
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dc:
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https://dblp.l3s.de/d2r/resource/authors/Christopher_D._Ellingwood
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dc:
creator
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https://dblp.l3s.de/d2r/resource/authors/Daniel_E._Bentil
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creator
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https://dblp.l3s.de/d2r/resource/authors/James_P._Hoffmann
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https://dblp.l3s.de/d2r/resource/authors/Osei_M._Bonsu
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DBLP journals/gpem/HoffmannEBB04
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dc:
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DOI doi.org%2F10.1023%2FB%3AGENP.0000023690.71330.42
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dcterms:
issued
2004
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swrc:
journal
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https://dblp.l3s.de/d2r/resource/journals/gpem
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rdfs:
label
Ecological Model Selection via Evolutionary Computation and Information Theory.
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foaf:
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https://dblp.l3s.de/d2r/resource/authors/Christopher_D._Ellingwood
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swrc:
number
2
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swrc:
pages
229-241
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seeAlso
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dc:
subject
model selection; parsimony; genetic algorithms; complexity-based fitness; variable-length representation
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dc:
title
Ecological Model Selection via Evolutionary Computation and Information Theory.
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5
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