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Self-adaptation of parameters in a learning classifier system ensemble machine
2010
International Journal of Applied Mathematics and Computer Science
Self-adaptation of parameters in a learning classifier system ensemble machine Self-adaptation is a key feature of evolutionary algorithms (EAs). Although EAs have been used successfully to solve a wide variety of problems, the performance of this technique depends heavily on the selection of the EA parameters. Moreover, the process of setting such parameters is considered a time-consuming task. Several research works have tried to deal with this problem; however, the construction of algorithms
doi:10.2478/v10006-010-0012-8
fatcat:alquaw4n5jgwfk5y2e2mzonakm