Interactive hybrid evolutionary computation for MEMS design synthesis

被引：1
|
作者：
Zhang, Ying [1 ]
Agogino, Alice M. [2 ]
机构：
[1] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA
[2] Univ Calif Berkeley, Dept Mech Engn, Berkeley, CA 94720 USA
来源：
MATHEMATICS AND COMPUTERS IN SIMULATION | 2012年 / 86卷
关键词：
Interactive hybrid computation; MEMS synthesis; Evolutionary computation; Optimal design;
D O I：
10.1016/j.matcom.2011.03.005
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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. (C) 2011 IMACS. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码：32 / 38
页数：7
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