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
Link To Document :
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