Optimization of Production Engineering Problems with Discontinuous Cost-Functions

Michelitsch, T.1, a; Mehnen, J.1, b

1)
Institut für Spanende Fertigung, Universität Dortmund, Baroper Str. 301, 44227 Dortmund

a) michelitsch@isf.de; b) mehnen@isf.de

Kurzfassung

In production engineering most optimization problems are multiobjective having production costs as goal. Expert’s knowledge should be integrated into the optimization process. For example, several production steps can be saved by using workpiece designs that meet certain geometric properties. The complexity a real-world optimization problem is reflected by discontinuous cost-functions with several constraints. this paper a new approach efficiently dealing with these problems is introduced. It facilitates an flexible, and concise treatment of various special cases. Beneficial self-imposed constraints are identified dynamically used in a hybrid evolutionary algorithm which utilizes sequential quadratic programming. approach is applied to the optimization problem of designing mold temperature control systems.

Schlüsselwörter

Self-Imposed Constraints, SQP, Multiobjective Evolutionary Optimization, Deep-Hole Drilling

Veröffentlichung

In: Proceedings of the 5th CIRP International Seminar on Intelligent Computation in Manufacturing Engineering (CIRP ICME '06), 2006, Ischia, Italy, Teti, R. (Hrsg.), ISBN 978-88-95028-01-9, S. 275-280

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