Evolutionary Optimized Mold Temperature Control Strategies using a Multi-Polyline Approach
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{mehnen03,
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author = "Jorn Mehnen and Thomas Michelitsch and Klaus Weinert",
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title = "Evolutionary Optimized Mold Temperature Control
Strategies using a Multi-Polyline Approach",
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booktitle = "Genetic Programming, Proceedings of EuroGP'2003",
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year = "2003",
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editor = "Conor Ryan and Terence Soule and Maarten Keijzer and
Edward Tsang and Riccardo Poli and Ernesto Costa",
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volume = "2610",
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series = "LNCS",
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pages = "374--383",
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address = "Essex",
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publisher_address = "Berlin",
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month = "14-16 " # apr,
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organisation = "EvoNet",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming: Poster",
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ISBN = "3-540-00971-X",
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DOI = "doi:10.1007/3-540-36599-0_35",
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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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notes = "EuroGP'2003 held in conjunction with EvoWorkshops
2003",
- }
Genetic Programming entries for
Jorn Mehnen
Thomas Michelitsch
Klaus Weinert
Citations