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MEMS Design Synthesis: Integrating Case-based Reasoning and Multi-objective Genetic Algorithms
 

Summary: MEMS Design Synthesis: Integrating
Case-based Reasoning and Multi-objective Genetic Algorithms
Corie L. Cobb1
, Ying Zhang2
, Alice M. Agogino3
1,3
Department of Mechanical Engineering, University of California at Berkeley, USA
2
School of Electrical and Computer Engineering, Georgia Institute of Technology, USA
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

  

Source: Agogino, Alice M. - Department of Mechanical Engineering, University of California at Berkeley

 

Collections: Engineering