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

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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",
• 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