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European Conference on Genetic Programming

EuroGP 2003: Genetic Programming pp 374–383Cite as

Evolutionary Optimized Mold Temperature Control Strategies Using a Multi-polyline Approach

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2610))

Abstract

During the machining process the tools for pressure and injection molding have to keep an optimal working temperature. This temperature depends on the workpiece material and allows a safe, efficient and precise machining process. The compact and very expensive steel molds are penetrated with deep hole drilling bores that are combined to form mold temperature control circuits. Today the structure of these circuits are designed manually. Here, a new automatic layout system for mold temperature control strategies is introduced which uses a multiobjective fitness function. The circuits are encoded via a polyline approach. The complex optimization problem is solved using a variation of the evolution strategy. The evolutionary approach as well as first results of the system will be discussed.

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Author information

Authors and Affiliations

  1. Department for Machining Technology (ISF), University of Dortmund, Baroper Str. 301, 44227, Dortmund, Germany

    Jörn Mehnen, Thomas Michelitsch & Klaus Weinert

Authors
  1. Jörn Mehnen
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  2. Thomas Michelitsch
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  3. Klaus Weinert
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Editor information

Editors and Affiliations

  1. Computer Science and Information Systems, University of Limerick, Limerick, Ireland

    Conor Ryan

  2. Department of Computer Science, University of Idaho, 83844-1010, Moscow, ID, USA

    Terence Soule

  3. Department of Computer Science, Free University of Amsterdam, 1081, HV Amsterdam, The Netherlands

    Maarten Keijzer

  4. Department of Computer Science, University of Essex, Wivenhoe Park, CO4 3SQ, Colchester, UK

    Edward Tsang  & Riccardo Poli  & 

  5. Department of Computer Science, University of Coimbra, Polo II, Pinhal Marrocos, 3030-290, Coimbra, Portugal

    Ernesto Costa

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© 2003 Springer-Verlag Berlin Heidelberg

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Mehnen, J., Michelitsch, T., Weinert, K. (2003). Evolutionary Optimized Mold Temperature Control Strategies Using a Multi-polyline Approach. In: Ryan, C., Soule, T., Keijzer, M., Tsang, E., Poli, R., Costa, E. (eds) Genetic Programming. EuroGP 2003. Lecture Notes in Computer Science, vol 2610. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36599-0_35

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  • DOI: https://doi.org/10.1007/3-540-36599-0_35

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00971-9

  • Online ISBN: 978-3-540-36599-0

  • eBook Packages: Springer Book Archive

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