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Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language
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NNECFSIC'12 Proceedings of the 12th WSEAS international conference on Neural networks, fuzzy systems, evolutionary computing & automation
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ACMOS'11 Proceedings of the 13th WSEAS international conference on Automatic control, modelling & simulation
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ACMOS'11 Proceedings of the 13th WSEAS international conference on Automatic control, modelling & simulation
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The paper deals with a alternative tool for symbolic regression - Analytic Programming which is able to solve various problems from the symbolic regression domain. In this contribution main principles of Analytic Programming are described and explained. Then follows how Analytic Programming was used for setting an optimal trajectory for an artificial ant according to Koza. An ability to create so called programs, as well as Genetic Programming or Grammatical Evolution do, is shown in that part. Analytic Programming is a superstructure of evolutionary algorithms which are necessary to run Analytic Programming. In this contribution SelfOrganizing Migrating Algorithm and Differential Evolution as two evolutionary algorithms were used to carry simulations out.