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Two Industrial Problems Solved through a Novel Optimization Algorithm

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2774))

Abstract

The paper presents a novel algorithm for the solution of optimization problems which tries to combine the positive features of the most common optimization algorithms. Two practical applications deriving from the iron and steel industry are presented, which allow to validate the effectiveness of the proposed algorithm. Numerical results are presented and discussed.

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References

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Author information

Authors and Affiliations

  1. Scuola Superiore Sant’Anna, Polo Sant’Anna Valdera, Viale Rinaldo Piaggio 34, 56025, Pontedera, PI, Italy

    M. Vannucci, V. Colla & G. Bioli

  2. Dipartimento di Scienza dei Materiali e dei Metalli, Universitá degli Studi di Pisa, Facoltá di Ingegneria, Via Diotisalvi 2, 56100, Pisa, Italy

    R. Valentini

Authors
  1. M. Vannucci
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  2. V. Colla
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  3. G. Bioli
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  4. R. Valentini
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Editor information

Editors and Affiliations

  1. Computing Laboratory, Oxford University, Parks Road, OXI 3QD, Oxford, United Kingdom

    Vasile Palade

  2. Centre for SMART Systems, School of Environment and Technology, 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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© 2003 Springer-Verlag Berlin Heidelberg

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Vannucci, M., Colla, V., Bioli, G., Valentini, R. (2003). Two Industrial Problems Solved through a Novel Optimization Algorithm. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45226-3_86

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  • DOI: https://doi.org/10.1007/978-3-540-45226-3_86

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40804-8

  • Online ISBN: 978-3-540-45226-3

  • eBook Packages: Springer Book Archive

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