Evolvability and Speed of Evolutionary Algorithms in Light of Recent Developments in Biology
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{hu:2010:jaea,
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author = "Ting Hu and Wolfgang Banzhaf",
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title = "Evolvability and Speed of Evolutionary Algorithms in
Light of Recent Developments in Biology",
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journal = "Journal of Artificial Evolution and Applications",
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year = "2010",
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volume = "2010",
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pages = "Article ID 568375",
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note = "Review Article",
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keywords = "genetic algorithms, genetic programming",
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URL = "https://www.hindawi.com/journals/jaea/2010/568375/",
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DOI = "doi:10.1155/2010/568375",
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size = "28 pages",
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abstract = "Biological and artificial evolutionary systems exhibit
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 can
potentially improve evolvability or accelerate
evolution in artificial systems. Biological notions are
discussed to the degree they correspond to notions in
Evolutionary Computation. We hope that the findings put
forward here can be used to design computational models
of evolution that produce significant gains in
evolvability and evolutionary speed.",
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notes = "'Evolvability, as the capability to generate
adaptation by producing fitter offspring via
evolutionary operations,...'",
- }
Genetic Programming entries for
Ting Hu
Wolfgang Banzhaf
Citations