DocumentCode
292278
Title
Population dynamics in a radically epistatic genetic system
Author
Gattiker, J.R. ; Wilson, David Sloan
Author_Institution
Dept. of Electr. Eng., State Univ. of New York, Binghamton, NY, USA
fYear
1995
fDate
29-31 May 1995
Firstpage
218
Lastpage
224
Abstract
A genetic system that uses a radically epistatic mapping from genotype to phenotype is defined. This system is proposed in order to study the population dynamics rather than create a new system for function optimization. Two behaviors not found in traditional genetic systems are explored: first, although the genetic system uses only simple generational recombination and fitness scaling, it is capable of distributing a population of solutions on a number of non-adjacent phenotype peaks. This capability is analyzed and empirically explored. Second, the genetic system is shown to have the capability of tracking an environment where the adaptive peaks are changed in a recurrent manner
Keywords
genetic algorithms; fitness scaling; generational recombination; genotype; phenotype; population dynamics; radically epistatic genetic system; radically epistatic mapping; Algorithm design and analysis; Biological system modeling; Biology; Displays; Genetic algorithms; Genetic mutations; Laboratories; Monte Carlo methods; Switches; Technological innovation;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligence in Neural and Biological Systems, 1995. INBS'95, Proceedings., First International Symposium on
Conference_Location
Herndon, VA
Print_ISBN
0-8186-7116-5
Type
conf
DOI
10.1109/INBS.1995.404258
Filename
404258
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