Evolvability and speed of evolutionary algorithms in light of recent developments in biology

  • Authors:
  • Ting Hu;Wolfgang Banzhaf

  • Affiliations:
  • Department of Computer Science, Memorial University, St. John's, NL, Canada and Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, NH;Department of Computer Science, Memorial University, St. John's, NL, Canada

  • Venue:
  • Journal of Artificial Evolution and Applications
  • Year:
  • 2010

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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.