DocumentCode
2714242
Title
Speciation through Exaptation
Author
Graham, Lee ; Oppacher, Franz
Author_Institution
Sch. of Comput. Sci., Carleton Univ., Ottawa, Ont.
fYear
2007
fDate
1-5 April 2007
Firstpage
433
Lastpage
439
Abstract
In this paper we present a simple genetic algorithm, possessing a notion of viability, in which a population of individuals in one niche spreads to populate a second niche with a different fitness function. The two niche populations then diverge genetically to such a degree that offspring produced by the crossover operator are inviable in both niches. We argue that this simple adaptive evolutionary behavior in the genetic algorithm can be likened to the concept of speciation in biology
Keywords
genetic algorithms; crossover operator; evolutionary behavior; fitness function; genetic algorithm; Arm; Biological system modeling; Computer science; Digital systems; Drives; Earth; Evolution (biology); Evolutionary computation; Genetic algorithms; Organisms;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Life, 2007. ALIFE '07. IEEE Symposium on
Conference_Location
Honolulu, HI
Print_ISBN
1-4244-0701-X
Type
conf
DOI
10.1109/ALIFE.2007.367827
Filename
4218917
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