Title :
Hierarchical evolutionary synthesis of MEMS
Author :
Fan, Zhun ; Goodman, Erik D. ; Wan, Jiachuan ; Rosenberg, Ronald ; Seo, Kisung ; Hu, Jianjun
Author_Institution :
Genetic Algorithms Res. & Applications Group, Michigan State Univ., East Lansing, MA, USA
Abstract :
We discuss the hierarchy that is involved in a typical MEMS design and how evolutionary approaches can be used to automate the hierarchical design and synthesis process for MEMS. At the system level, the approach combining bond graphs and genetic programming can lead to satisfactory design candidates of system level models that meet the predefined behavioral specifications for designers to tradeoff. At the physical layout synthesis level, the selection of geometric parameters for component devices is formulated as a constrained optimization problem and addressed using a constrained GA approach. A multiple-resonator microsystem design is used to illustrate the integrated design automation idea using evolutionary approaches.
Keywords :
bond graphs; electronic design automation; genetic algorithms; micromechanical devices; MEMS hierarchical design; behavioral specifications; bond graphs; component devices; constrained GA approach; constrained optimization problem; design candidates; evolutionary approach; genetic programming; geometric parameters; hierarchical evolutionary synthesis; integrated design automation; layout synthesis level; multiple-resonator microsystem design; system level models; Algorithm design and analysis; Bonding; Constraint optimization; Design automation; Fabrication; Genetic programming; Investments; Micromechanical devices; Process design; Solid modeling;
Conference_Titel :
Evolutionary Computation, 2004. CEC2004. Congress on
Print_ISBN :
0-7803-8515-2
DOI :
10.1109/CEC.2004.1331187