Evolvability and Speed of Evolutionary Algorithms in Light of Recent Developments in Biology. (12th April 2010)

• Record Type: Journal Article
• Authors: Hu, Ting; Banzhaf, Wolfgang
• Other Names: Rothlauf Franz Academic Editor.
• Is Part Of: Journal of artificial evolution and applications. Volume 2010(2010)
• Publication Date: 2010-04-12
• Subjects: Evolutionary programming (Computer science) -- Periodicals; Evolutionary programming (Computer science); Periodicals; Electronic journals; 006.3823
• DOI: 10.1155/2010/568375
• Languages: English
• ISSNs: 1687-6229

Abstract

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.