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Optimization Method for Design of Supercritical Water Oxidation Process Using Genetic Algorithm

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4693))

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Abstract

To decide optimum conditions for a chemical process is difficult task. Design variables of chemical process like the supercritical water oxidation process are discrete variables (ex. structure) and continuous variables (ex. temperature, pressure). This paper develops a method simultaneously optimizes continuous variables and discrete variables in safety region using genetic algorithm. We demonstrate the proposed method using the supercritical water oxidation process in this study.

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References

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Author information

Authors and Affiliations

  1. Shizuoka University, 3-5-1, Johoku, Hamamatsu, Shizuoka 432-8561, Japan

    Hiroya Yamasaki & Kazuhiro Takeda

  2. National Institute of Occupational Safety and Health, 1-4-6, Umezono, Kiyose, Tokyo, 204-0024, Japan

    Yukiyasu Shimada

  3. Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan

    Takashi Hamaguchi

  4. Tokyo University of Agriculture and Technology, 2-24-16, Naka-cho, Koganei, Tokyo, 184-8588, Japan

    Teiji Kitajima

  5. Tokyo Institute of Technology, 2-12-1, Oookayama, Meguro, Tokyo 152-8552, Japan

    Tetsuo Fuchino

Authors
  1. Hiroya Yamasaki
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  2. Kazuhiro Takeda
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  3. Yukiyasu Shimada
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  4. Takashi Hamaguchi
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  5. Teiji Kitajima
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  6. Tetsuo Fuchino
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Editor information

Editors and Affiliations

  1. Dipartimento di Scienze dell’Informazione, Università degli Studi di Milano, Via Comelico 39/41, 20135, Milano, Italy

    Bruno Apolloni

  2. Centre for SMART Systems, School of Engineering, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. Knowledge-Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, SA 5095, Adelaide, Australia

    Lakhmi Jain

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© 2007 Springer-Verlag Berlin Heidelberg

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Yamasaki, H., Takeda, K., Shimada, Y., Hamaguchi, T., Kitajima, T., Fuchino, T. (2007). Optimization Method for Design of Supercritical Water Oxidation Process Using Genetic Algorithm. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4693. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74827-4_94

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  • DOI: https://doi.org/10.1007/978-3-540-74827-4_94

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74826-7

  • Online ISBN: 978-3-540-74827-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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