Title :
Evolution of artificial ring species
Author :
Ashlock, Daniel ; Von Königslöw, Taika
Author_Institution :
Integrative Biol. Program, Univ. of Guelph, Guelph, ON
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;
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
DOI :
10.1109/CEC.2008.4630865