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Forced evolution in silico by artificial transposons and their genetic operators: The ant navigation problem

Leonid Zamdborg, David M. Holloway, Juan J. Merelo, Vladimir F. Levchenko, Alexander V. Spirov
2015 Information Sciences  
We add new objects to the standard toolkit of GA - artificial transposons and a collection of operators that operate on them.  ...  Specifically, we started in the domain of genetic algorithms (GA) and selected the Artificial Ant Problem as a test case.  ...  This technique can be applied equally to GA and Genetic Programming (GP), but in this work we concentrated our efforts on testing the applications of MGE operators in GA.  ... 
doi:10.1016/j.ins.2015.02.012 pmid:25767296 pmcid:PMC4353400 fatcat:kr6dzr6gdrbczizdrolpywegdq

Forced Evolution in Silico by Artificial Transposons and their Genetic Operators: The John Muir Ant Problem [article]

Alexander V. Spirov, Alexander B. Kazansky, Leonid Zamdborg, Juan J. Merelo, Vladimir F. Levchenko
2009 arXiv   pre-print
Specifically, we started in the domain of genetic algorithms (GA) and selected the Artificial Ant Problem as a test case.  ...  We concluded that artificial transposons, analogous to real transposons, are truly capable of acting as intelligent mutators that adapt in response to an evolutionary problem in the course of co-evolution  ...  This technique can be applied equally to GA and Genetic Programming (GP), but in this work we concentrated our efforts on testing the applications of MGE operators in GA.  ... 
arXiv:0910.5542v1 fatcat:u2byk66mdne5lkxuo2ojjk76qy