Evolvability and Speed of Evolutionary Algorithms in Light of Recent Developments in Biology

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@Article{hu:2010:jaea,

• author = "Ting Hu and Wolfgang Banzhaf",
• title = "Evolvability and Speed of Evolutionary Algorithms in Light of Recent Developments in Biology",
• journal = "Journal of Artificial Evolution and Applications",
• year = "2010",
• volume = "2010",
• pages = "Article ID 568375",
• note = "Review Article",
• keywords = "genetic algorithms, genetic programming",
• URL = "https://www.hindawi.com/journals/jaea/2010/568375/",
• DOI = "doi:10.1155/2010/568375",
• size = "28 pages",
• 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.",
• notes = "'Evolvability, as the capability to generate adaptation by producing fitter offspring via evolutionary operations,...'",

}

Genetic Programming entries for Ting Hu Wolfgang Banzhaf

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