The role of contraints and human interaction in evolving mems designs: Microresonator case study

Raffi Kamalian; Alice M. Agogino; Hideyuki Takagi

The role of contraints and human interaction in evolving mems designs: Microresonator case study

Raffi Kamalian, Alice M. Agogino, Hideyuki Takagi

Modeling and Optimization

Research output: Contribution to conference › Paper › peer-review

20 Citations (Scopus)

Abstract

In this paper we review the current state of automated MEMS synthesis with a focus on generative methods. We use the design of a MEMS resonator as a case study and explore the role that geometric constraints and human interaction play in a computer-aided MEMS design system based on genetic algorithms.

Original language	English
Pages	875-883
Number of pages	9
Publication status	Published - 2004
Event	2004 ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference - Salt Lake City, UT, United States Duration: Sep 28 2004 → Oct 2 2004

Other

Other	2004 ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference
Country	United States
City	Salt Lake City, UT
Period	9/28/04 → 10/2/04

All Science Journal Classification (ASJC) codes

Modelling and Simulation
Mechanical Engineering
Computer Science Applications
Computer Graphics and Computer-Aided Design

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The role of contraints and human interaction in evolving mems designs : Microresonator case study. / Kamalian, Raffi; Agogino, Alice M.; Takagi, Hideyuki.

2004. 875-883 Paper presented at 2004 ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Salt Lake City, UT, United States.

Research output: Contribution to conference › Paper › peer-review

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abstract = "In this paper we review the current state of automated MEMS synthesis with a focus on generative methods. We use the design of a MEMS resonator as a case study and explore the role that geometric constraints and human interaction play in a computer-aided MEMS design system based on genetic algorithms.",

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