Evolvability and Speed of Evolutionary Algorithms in Light of Recent Developments in Biology
Author(s) -
Ting Hu,
Wolfgang Banzhaf
Publication year - 2010
Publication title -
journal of artificial evolution and applications
Language(s) - English
Resource type - Journals
eISSN - 1687-6237
pISSN - 1687-6229
DOI - 10.1155/2010/568375
Subject(s) - evolvability , evolutionary algorithm , evolutionary computation , human based evolutionary computation , computer science , modern evolutionary synthesis , computation , evolutionary developmental biology , interactive evolutionary computation , artificial intelligence , evolutionary programming , evolutionary biology , biology , algorithm
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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