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Proceedings Paper

Enhanced optimization algorithms for the development of microsystems
Author(s): Dagmar Peters; Hilmar Bolte; Claudia Marschner; Oliver Nuessen; Rainer Laur
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Paper Abstract

Due to the ongoing growth of microsystems' complexity, there is an urgent need for automatic optimization. In order to include it seamlessly in the customary design process, the algorithms have to be fast and robust. Calculations of the quality function call for at least one FEM-, netlist based or behavioral simulation. Thus the optimization process is a very time consuming task. This paper presents a methodology for enhancing the convergence characteristics of heuristic search methodologies.

Paper Details

Date Published: 5 April 2001
PDF: 9 pages
Proc. SPIE 4408, Design, Test, Integration, and Packaging of MEMS/MOEMS 2001, (5 April 2001); doi: 10.1117/12.425382
Show Author Affiliations
Dagmar Peters, Univ. of Bremen (Germany)
Hilmar Bolte, Univ. of Bremen (Germany)
Claudia Marschner, Univ. of Bremen (Germany)
Oliver Nuessen, Univ. of Bremen (Germany)
Rainer Laur, Univ. of Bremen (Germany)

Published in SPIE Proceedings Vol. 4408:
Design, Test, Integration, and Packaging of MEMS/MOEMS 2001
Bernard Courtois; Jean Michel Karam; Steven Peter Levitan; Karen W. Markus; Andrew A. O. Tay; James A. Walker, Editor(s)

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