Title :
Speciation through Exaptation
Author :
Graham, Lee ; Oppacher, Franz
Author_Institution :
Sch. of Comput. Sci., Carleton Univ., Ottawa, Ont.
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;
Conference_Titel :
Artificial Life, 2007. ALIFE '07. IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0701-X
DOI :
10.1109/ALIFE.2007.367827
