2003
DOI: 10.1007/3-540-45110-2_103
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System-Level Synthesis of MEMS via Genetic Programming and Bond Graphs

Abstract: Abstract. Initial results have been achieved for automatic synthesis of MEMS system-level lumped parameter models using genetic programming and bond graphs. This paper first discusses the necessity of narrowing the problem of MEMS synthesis into a certain specific application domain, e.g., RF MEM devices. Then the paper briefly introduces the flow of a structured MEMS design process and points out that system-level lumped-parameter model synthesis is the first step of the MEMS synthesis process. Bond graphs ca… Show more

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Cited by 21 publications
(15 citation statements)
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References 8 publications
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“…Layout synthesis is an important stage for a structured design of MEMS [32], [33], after the stage of the system-level design [34]. This paper has developed a novel constrained optimization algorithm IDE-SR, which is an IDE based on SR, and reports a method of robust layout synthesis of MEMS based on it.…”
Section: Discussionmentioning
confidence: 99%
“…Layout synthesis is an important stage for a structured design of MEMS [32], [33], after the stage of the system-level design [34]. This paper has developed a novel constrained optimization algorithm IDE-SR, which is an IDE based on SR, and reports a method of robust layout synthesis of MEMS based on it.…”
Section: Discussionmentioning
confidence: 99%
“…Layout synthesis is an important stage for structured design of MEMS [13], [14], after the stage of the systemlevel design [15]. The paper reports a method of robust layout synthesis of MEMS that transforms the robust design problem into a multi-objective constrained optimisation problem, and then solve it using NSGA-II, a special type of MOGA.…”
Section: Discussionmentioning
confidence: 99%
“…to develop stack automata (Zomorodian 1995) or electrical circuits. In this field there are some works in which classic GP is used to develop different types of electrical circuits and analogical filters (Fan 2002(Fan , 2003. To do this, some operators had to be created to allow GP represent so complex structures.…”
Section: Graph-based Genetic Programmingmentioning
confidence: 99%