DocumentCode :
296208
Title :
Phenotypes, genotypes, and operators in evolutionary computation
Author :
Fogel, David B.
Volume :
1
fYear :
1995
fDate :
Nov. 29 1995-Dec. 1 1995
Firstpage :
193
Abstract :
Evolutionary computation can be conducted at various levels of abstraction (e.g., genes, individuals, species). Recent claims have been made that simulated evolution can be made more biologically accurate by applying specific genetic operators that mimic low-level transformations to DNA. This paper argues instead that the appropriateness of particular variation operators depends on the level of abstraction of the simulation. Further, including specific random variation operators simply because they have a similar form as genetic operators that occur in nature does not, in general, lead to greater fidelity in simulation
Keywords :
Analytical models; Biological cells; Biological system modeling; Computational modeling; DNA; Evolution (biology); Evolutionary computation; Genetic algorithms; Genetic mutations; Physics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 1995., IEEE International Conference on
Conference_Location :
Perth, WA, Australia
Print_ISBN :
0-7803-2759-4
Type :
conf
DOI :
10.1109/ICEC.1995.489143
Filename :
489143
Link To Document :
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