Guidelines: From artificial evolution to computational evolution: a research agenda.
Computational scientists have developed algorithms inspired by natural evolution for at least 50 years. These algorithms solve optimization and design problems by building solutions that are 'more fit' relative to desired properties. However, the basic assumptions of this approach are outdated. We propose a research programme to develop a new field: computational evolution. This approach will produce algorithms that are based on current understanding of molecular and evolutionary biology and could solve previously unimaginable or intractable computational and biological problems.
Banzhaf
Wolfgang
W
Department of Computer Science, Memorial University of Newfoundland, St John's, Newfoundland and Labrador A1B 3X5, Canada. banzhaf@cs.mun.ca
Beslon
Guillaume
G
Christensen
Steffen
S
Foster
James A
JA
Képès
François
F
Lefort
Virginie
V
Miller
Julian F
JF
Radman
Miroslav
M
Ramsden
Jeremy J
JJ
D000465:Algorithms; D005075:Biological Evolution; D019295:Computational Biology; D017753:Ecosystem; D005823:Genetics; D005838:Genotype; D010641:Phenotype; D012106:Research