Evolvability and Acceleration in Evolutionary Computation

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@TechReport{MUN-CS-2008-04,

• author = "Ting Hu and Wolfgang Banzhaf",
• title = "Evolvability and Acceleration in Evolutionary Computation",
• institution = "Department of Computer Science, Memorial University of Newfoundland",
• year = "2008",
• number = "2008-04",
• address = "St. John's, NL, Canada A1B 3X5",
• month = oct,
• keywords = "genetic algorithms, genetic programming",
• URL = "http://www.mun.ca/computerscience/research/MUN-CS-2008-04.pdf",
• 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.",
• notes = "cited by \cite{Weise:2011:ieeeTEC}",
• size = "72 pages",

}

Genetic Programming entries for Ting Hu Wolfgang Banzhaf

Citations