Evolutionary Optimized Mold Temperature Control Strategies using a Multi-Polyline Approach

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{mehnen03,
  author =       "Jorn Mehnen and Thomas Michelitsch and Klaus Weinert",
  title =        "Evolutionary Optimized Mold Temperature Control
                 Strategies using a Multi-Polyline Approach",
  booktitle =    "Genetic Programming, Proceedings of EuroGP'2003",
  year =         "2003",
  editor =       "Conor Ryan and Terence Soule and Maarten Keijzer and 
                 Edward Tsang and Riccardo Poli and Ernesto Costa",
  volume =       "2610",
  series =       "LNCS",
  pages =        "374--383",
  address =      "Essex",
  publisher_address = "Berlin",
  month =        "14-16 " # apr,
  organisation = "EvoNet",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming: Poster",
  ISBN =         "3-540-00971-X",
  URL =          "http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=2610&spage=374",
  DOI =          "doi:10.1007/3-540-36599-0_35",
  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.",
  notes =        "EuroGP'2003 held in conjunction with EvoWorkshops
                 2003",
}

Genetic Programming entries for Jorn Mehnen Thomas Michelitsch Klaus Weinert

Citations