Original Articles: Interactive hybrid evolutionary computation for MEMS design synthesis

Authors:
Ying Zhang;Alice M. Agogino
Affiliations:
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA;Department of Mechanical Engineering, University of California at Berkeley, CA, USA
Venue:
Mathematics and Computers in Simulation
Year:
2012

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Abstract

Abstract: An interactive hybrid evolutionary computation (IHC) process for MEMS design synthesis is described, which uses both human expertise and local performance improvement to augment the performance of an evolutionary process. The human expertise identifies good design patterns, and local optimization fine-tunes these designs so that they reach their potential at early stages of the evolutionary process. At the same time, the feedback on local optimal designs confirms and refines the human assessment. The advantages of the IHC process are demonstrated with micromachined resonator test cases. Guidelines on how to set parameters for the IHC algorithm are also made based on experimental observations and results.