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Proceedings Paper

MEMS design synthesis: integrating case-based reasoning and multi-objective genetic algorithms
Author(s): Corie L. Cobb; Ying Zhang; Alice M. Agogino
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Paper Abstract

A case-based reasoning (CBR) knowledge base has been incorporated into a Micro-Electro-Mechanical Systems (MEMS) design tool that uses a multi-objective genetic algorithm (MOGA) to synthesize and optimize conceptual designs. CBR utilizes previously successful MEMS designs and sub-assemblies as building blocks stored in an indexed case library, which serves as the knowledge base for the synthesis process. Designs in the case library are represented in a parameterized object-oriented format, incorporating MEMS domain knowledge into the design synthesis loop as well as restrictions for the genetic operations of mutation and crossover for MOGA optimization. Reasoning tools locate cases in the design library with solved problems similar to the current design problem and suggest promising conceptual designs which have the potential to be starting design populations for a MOGA evolutionary optimization process, to further generate more MEMS designs concepts. Surface micro-machined resonators are used as an example to introduce this integrated MEMS design synthesis process. The results of testing on resonator case studies demonstrate how the combination of CBR and MOGA synthesis tools can help increase the number of optimal design concepts presented to MEMS designers.

Paper Details

Date Published: 8 January 2007
PDF: 11 pages
Proc. SPIE 6414, Smart Structures, Devices, and Systems III, 641419 (8 January 2007); doi: 10.1117/12.695609
Show Author Affiliations
Corie L. Cobb, Univ. of California at Berkeley (United States)
Ying Zhang, Georgia Institute of Technology (United States)
Alice M. Agogino, Univ. of California at Berkeley (United States)

Published in SPIE Proceedings Vol. 6414:
Smart Structures, Devices, and Systems III
Said F. Al-Sarawi, Editor(s)

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