Evolutionary design optimization of MEMS: a review of its history and state-of-the-art

被引：9

作者：

Wang, Pan ^{[1
]}

Lu, Qibing ^{[2
]}

Fan, Zhun ^{[3
]}

机构：

[1] Wuhan Univ Technol, Sch Automat, Wuhan, Hubei, Peoples R China

[2] Wuhan Univ Technol, Sch Mech & Elect Engn, Wuhan, Hubei, Peoples R China

[3] Shantou Univ, Sch Engn, Shantou, Peoples R China

来源：

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | 2019年 / 22卷 / Suppl 4期

基金：

中国国家自然科学基金;

关键词：

Micro-Electro-Mechanical-Systems (MEMS); Design optimization; Evolutionary design; Evolutionary computation; Enterprise systems; ALGORITHM;

D O I：

10.1007/s10586-018-2085-3

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

As an important part of the internet of things (IoTs) and cyber-physical systems (CPS), Micro-Electro-Mechanical-Systems (MEMS) is playing more and more irreplaceable role in current industrial community and the forthcoming era of the Industry 4.0. The limitations of some frequently used design methods for MEMS design optimization are analyzed in this review. In order to overcome these difficulties, a recent trend in design optimization of MEMS is inspired by the natural evolution mechanism. Many powerful techniques, especially the evolutionary computation (EC), have been used for the design optimization of MEMS. This paper presents a review of the achievements in this promising research area which utilizes EC methods for the design optimization of MEMS and also proposes three open issues that it is facing.

引用

页码：S9105 / S9111

页数：7

共 50 条

[1] Evolutionary design optimization of MEMS: a review of its history and state-of-the-art
Pan Wang
Qibing Lu
Zhun Fan
Cluster Computing, 2019, 22 : 9105 - 9111
[2] Reliability-based design optimization: a state-of-the-art review of its methodologies, applications, and challenges
Hu, Weifei
Cheng, Sichuang
Yan, Jiquan
Cheng, Jin
Peng, Xiang
Cho, Hyunkyoo
Lee, Ikjin
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2024, 67 (09)
[3] State-of-the-art evolutionary algorithms for dynamic multiobjective optimization
Yen, Gary G.
DATA SCIENCE AND KNOWLEDGE ENGINEERING FOR SENSING DECISION SUPPORT, 2018, 11 : 7 - 9
[4] Multidisciplinary design and optimization methodologies in electronics packaging: State-of-the-art review
Hadim, Hamid
Suwa, Tohru
JOURNAL OF ELECTRONIC PACKAGING, 2008, 130 (03) : 0340011 - 03400110
[5] Performance-Based Design Optimization of Structures: State-of-the-Art Review
Hassanzadeh, Aydin
Moradi, Saber
Burton, Henry V.
JOURNAL OF STRUCTURAL ENGINEERING, 2024, 150 (08)
[6] Design for environment: a state-of-the-art review
Urmila Diwekar
Yogendra Shastri
Clean Technologies and Environmental Policy, 2011, 13 : 227 - 240
[7] Design for environment: a state-of-the-art review
Diwekar, Urmila
Shastri, Yogendra
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY, 2011, 13 (02) : 227 - 240
[8] Evolutionary computation and structural design: A survey of the state-of-the-art
Kicinger, R
Arciszewski, T
De Jong, K
COMPUTERS & STRUCTURES, 2005, 83 (23-24) : 1943 - 1978
[9] Interactive Multiobjective Optimization: A Review of the State-of-the-Art
Xin, Bin
Chen, Lu
Chen, Jie
Ishibuchi, Hisao
Hirota, Kaoru
Liu, Bo
IEEE ACCESS, 2018, 6 : 41256 - 41279
[10] Preference Incorporation in Evolutionary Multiobjective Optimization: A Survey of the State-of-the-Art
Bechikh, Slim
Kessentini, Marouane
Ben Said, Lamjed
Ghedira, Khaled
ADVANCES IN COMPUTERS, VOL 98, 2015, 98 : 141 - 207

← 1 2 3 4 5 →