Korbicz, Józef - red. ; Uciński, Dariusz - red.
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 and open problem of EAs. This work proposes a novel ensemble machine learning method that is able to learn rules, solve problems in a parallel way and adapt parameters used by its components. ; A self-adaptive ensemble machine consists of simultaneously working extended classifier systems (XCSs). The proposed ensemble machine may be treated as a meta classifier system. A new self-adaptive XCS-based ensemble machine was compared with two other XCSbased ensembles in relation to one-step binary problems: Multiplexer, One Counts, Hidden Parity, and randomly generated Boolean functions, in a noisy version as well. Results of the experiments have shown the ability of the model to adapt the mutation rate and the tournament size. The results are analyzed in detail.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, Volume 20, Number 1 (2010) ; click here to follow the link
Biblioteka Uniwersytetu Zielonogórskiego
Sep 7, 2021
Aug 13, 2018
136
https://zbc.uz.zgora.pl/publication/54935
Edition name | Date |
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Self-adaptation of parameters in a learning classifier system ensemble machine | Sep 7, 2021 |
Czarnowski, Ireneusz Jędrzejowicz, Piotr Korbicz, Józef - red. Uciński, Dariusz - red.
Nowicki, Adam Grochowski, Michał Duzinkiewicz, Kazimierz Cordón, Oskar - ed. Kazienko, Przemysław - ed.
Cielecki, Łukasz Unold, Olgierd Korbicz, Józef - red.
Kajdanowicz, Tomasz Kazienko, Przemysław Cordón, Oskar - ed. Kazienko, Przemysław - ed.
Sumi, Monira S. Zaman, Faisal M. Hirose, Hideo Cordón, Oskar - ed. Kazienko, Przemysław - ed.
Trawiński, Bogdan Smętek, Magdalena Telec, Zbigniew Lasota, Tadeusz Cordón, Oskar - ed. Kazienko, Przemysław - ed.