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An Improved Teaching-Learning Based Optimization for Optimization of Flatness of a Strip During a Coiling Process

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Multi-disciplinary Trends in Artificial Intelligence (MIWAI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10053))

Abstract

Performance enhancement of a teaching-learning based optimizer (TLBO) for strip flatness optimization during a coiling process is proposed. The method is termed improved teaching-learning based optimization (ITLBO). The new algorithm is achieved by modifying the teaching phase of the original TLBO. The design problem is set to find spool geometry and coiling tension in order to minimize flatness defects during the coiling process. Having implemented the new optimizer with flatness optimization for strip coiling, the results reveal that the proposed method gives a better optimum solution compared to the present state-of-the-art methods.

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Acknowledgements

The authors gratefully acknowledge the financial support from Thailand Research Fund (TRF). The research grant from the POSCO was also appreciated.

Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Faculty of Engineering, Sustainable and Infrastructure Research and Development Centre, Khon Kaen University, 123 Moo 16, Mittraphap Road, Tambon Muang, Khon Kaen, Thailand

    Sujin Bureerat & Nantiwat Pholdee

  2. National Research Laboratory for Computer Aided Materials Processing, Department of Mechanical Engineering, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon, South Korea

    Won-Woong Park

  3. Neutron Science Division, Korea Atomic Energy Research Institute, 111 Daeduk-daero 989 beon-gil, Yuseong-gu, Daejeon, South Korea

    Dong-Kyu Kim

Authors
  1. Sujin Bureerat
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  2. Nantiwat Pholdee
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  3. Won-Woong Park
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  4. Dong-Kyu Kim
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Corresponding author

Correspondence to Nantiwat Pholdee .

Editor information

Editors and Affiliations

  1. Mahasarakham University , Maha Sarakham, Thailand

    Chattrakul Sombattheera

  2. Harz University of Applied Sciences , Wernigerode, Germany

    Frieder Stolzenburg

  3. University of Science and Technology , Hong Kong, China

    Fangzhen Lin

  4. Macquarie University , North Ryde, New South Wales, Australia

    Abhaya Nayak

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Bureerat, S., Pholdee, N., Park, WW., Kim, DK. (2016). An Improved Teaching-Learning Based Optimization for Optimization of Flatness of a Strip During a Coiling Process. In: Sombattheera, C., Stolzenburg, F., Lin, F., Nayak, A. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2016. Lecture Notes in Computer Science(), vol 10053. Springer, Cham. https://doi.org/10.1007/978-3-319-49397-8_2

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  • DOI: https://doi.org/10.1007/978-3-319-49397-8_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49396-1

  • Online ISBN: 978-3-319-49397-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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