DocumentCode
2910669
Title
Evolution of artificial ring species
Author
Ashlock, Daniel ; Von Königslöw, Taika
Author_Institution
Integrative Biol. Program, Univ. of Guelph, Guelph, ON
fYear
2008
fDate
1-6 June 2008
Firstpage
653
Lastpage
659
Abstract
Biological ring species are a population surrounding a geographic obstruction such as a large lake or a mountain range. Adjacent sub-populations are mutually fertile, but fertility drops with distance. This study attempts to create examples of artificial ring species using evolutionary algorithms. ISAc lists, a representation with self-organized and potentially complex genetics, are used to evolve controllers for the Tartarus task. The breeding population of Tartarus controllers are arranged in a ring-shaped configuration with strictly local gene flow. Fertility is defined to be the probability that a child will have fitness at least that of its least fit parent. Fertility is found to drop steadily and significantly with distance around the ring in each of twelve replicates of the experiment. Comparison of fertility at various distances within a ring-shaped population is compared with sampled intra-population fertility. Some populations are found to have significantly higher than background fertility with other populations. This phenomena suggests the presence of aggressive genetics or dominant phenotype in which a creature has an enhanced probability of simply cloning its own phenotype during crossover. In addition to creating examples of artificial ring species this study also achieved a very high level of fitness with the Tartarus task. A comparison is made with another study that uses hybridization to achieve record breaking Tartarus fitness.
Keywords
artificial life; probability; Tartarus fitness; Tartarus task; artificial ring species; complex genetics; geographic obstruction; local gene flow; phenotypes; ring-shaped population; Cloning; Europe; Evolution (biology); Evolutionary computation; Genetic programming; Lakes; Mathematics; North America; Organisms; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-1822-0
Electronic_ISBN
978-1-4244-1823-7
Type
conf
DOI
10.1109/CEC.2008.4630865
Filename
4630865
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