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Evolutionary Algorithm for Uncertain Evaluation Function

Author

Listed:
  • Yusuke Tajima

    (Graduate School of Informatics and Engineering, The University of Eectro-Communications Chofu 182-8585, Japan)

  • Masaya Nakata

    (The University of Electro-Communications, Takadama Laboratory, Chofu 182-8585, Japan)

  • Hiroyasu Matsushima

    (The University of Electro-Communications, Takadama Laboratory, Chofu 182-8585, Japan)

  • Yoshihiro Ichikawa

    (The University of Electro-Communications, Takadama Laboratory, Chofu 182-8585, Japan)

  • Hiroyuki Sato

    (The University of Electro-Communications, Takadama Laboratory, Chofu 182-8585, Japan)

  • Kiyohiko Hattori

    (The University of Electro-Communications, Takadama Laboratory, Chofu 182-8585, Japan)

  • Keiki Takadama

    (The University of Electro-Communications, Takadama Laboratory, Chofu 182-8585, Japan)

Abstract

This paper proposes the evolutionary algorithm (EA) for the uncertain evaluation function in which fitness values change even with the same input. In detail, the proposed method employs the probability model to acquire the appropriate attributes that can drive the good solutions. To investigate the effectiveness of the proposed method, we apply it to sleep stage estimation problem where an accuracy of sleep stage estimation changes even in the same estimation filter (correspondingly the solutions). The experimental results have revealed the following implications: (i) The proposed method succeeded to acquire the robust estimation filters which stably derive a high accuracy of the sleep stage estimation; (ii) in detail, the proposed method with the roulette selection shows higher performance than the one with the random selection; and (iii) the proposed method shows high performance and robustness to the different days in comparison with the conventional sleep stage estimation method.

Suggested Citation

  • Yusuke Tajima & Masaya Nakata & Hiroyasu Matsushima & Yoshihiro Ichikawa & Hiroyuki Sato & Kiyohiko Hattori & Keiki Takadama, 2015. "Evolutionary Algorithm for Uncertain Evaluation Function," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 201-215.
    • Handle: RePEc:wsi:nmncxx:v:11:y:2015:i:02:n:s1793005715400062
    DOI: 10.1142/S1793005715400062
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