Evolvability and Acceleration in Evolutionary Computation
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @TechReport{MUN-CS-2008-04,
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author = "Ting Hu and Wolfgang Banzhaf",
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title = "Evolvability and Acceleration in Evolutionary
Computation",
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institution = "Department of Computer Science, Memorial University of
Newfoundland",
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year = "2008",
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number = "2008-04",
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address = "St. John's, NL, Canada A1B 3X5",
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month = oct,
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keywords = "genetic algorithms, genetic programming",
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URL = "http://www.mun.ca/computerscience/research/MUN-CS-2008-04.pdf",
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abstract = "Biological and artificial evolutionary systems can
possess varying degrees of evolvability and different
rates of evolution. Such quantities can be affected by
various factors. Here, we review some evolutionary
mechanisms and discuss new developments in biology that
may improve evolvability or accelerate evolution in
artificial systems. Biological notions are discussed to
the degree they correspond to notions in evolutionary
computation. We hope the findings put forward here can
be used to design computational models of evolution
that exhibit significant gains in evolvability and
evolutionary speed.",
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notes = "cited by \cite{Weise:2011:ieeeTEC}",
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size = "72 pages",
- }
Genetic Programming entries for
Ting Hu
Wolfgang Banzhaf
Citations