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