Self-adaptation of parameters in a learning classifier system ensemble machine
Maciej Troć, Olgierd Unold (2010)
International Journal of Applied Mathematics and Computer Science
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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 letting the parameters adapt themselves to the problem is a critical...