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Chameleon: a Generic Tool for Genetic Programming

Eduardo J. SpinosaAurora T. R. PozoSilvia R. VergílioErnesto L. M. Rodrigues

Genetic Programming has been largely applied for solving a wide variety of problems. However, each GP application is often built independently, based on specific aspects of the problem. This paper introduces Chameleon, a generic tool designed with the goal of being configurable to solve problems in different areas, with no need to perform significant changes on its kernel structure. We show an example of Chameleon being used to implement the classic symbolic regression problem: finding an equation given a set of points. The influence of the GP parameters in the overall evolution process is also discussed by an analysis of the symbolic regression test results. Clique no link abaixo para buscar o texto completo deste trabalho na Web: Buscar na Web

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