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Parameters Optimization of Continuous Casting Process Using Teaching-Learning-Based Optimization Algorithm

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Swarm, Evolutionary, and Memetic Computing (SEMCCO 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7677))

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Abstract

In the present work, continuous casting process is considered for its parameters optimization using a recently developed optimization algorithm known as teaching-learning-based optimization algorithm. The example considered is a multi-objective multi-constrained problem having three objectives and two constraints. The objectives of the process under consideration are maximization of lubrication index and minimization of peak friction and oscillation marks. Four process parameters are involved in the process namely casting speed, stroke, frequency and deviation from sinusoid. The same model was earlier attempted by researchers using genetic algorithm and differential evolution techniques. The results obtained in the present work outperformed the previous results in terms of fitness functions and number of generations.

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Authors and Affiliations

  1. S.V. National Institute of Technology, Surat, Gujarat, 395007, India

    Ravipudi Venkata Rao & Vivek D. Kalyankar

Authors
  1. Ravipudi Venkata Rao
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  2. Vivek D. Kalyankar
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Indian Institute of Technology, 110016, Delhi, India

    Bijaya Ketan Panigrahi

  2. Electronics and Communication Sciences Unit, Indian Statistical Institute, 700108, Kolkata, India

    Swagatam Das

  3. School of Electrical and Electronic Engineering, Nanyang Technological University, Block N4, 2b-39, Nanyang Avenue, 639798, Singapore, Singapore

    Ponnuthurai Nagaratnam Suganthan

  4. Department of Electronics and Telecom. Engineering, Institute of Technical Education & Research, Siksha ’O’ Anusandhan University, 751030, Bhubaneswar, Odisha, India

    Pradipta Kumar Nanda

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© 2012 Springer-Verlag Berlin Heidelberg

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Venkata Rao, R., Kalyankar, V.D. (2012). Parameters Optimization of Continuous Casting Process Using Teaching-Learning-Based Optimization Algorithm. In: Panigrahi, B.K., Das, S., Suganthan, P.N., Nanda, P.K. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2012. Lecture Notes in Computer Science, vol 7677. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35380-2_63

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  • DOI: https://doi.org/10.1007/978-3-642-35380-2_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35379-6

  • Online ISBN: 978-3-642-35380-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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