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Output details

11 - Computer Science and Informatics

Staffordshire University

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Output 4 of 30 in the submission

Article title

An efficient evolutionary multi-objective framework for MEMS design optimisation: validation, comparison and analysis

Type

D - Journal article

DOI

10.1007/s12293-011-0067-6

Title of journal

Memetic Computing

Article number

Volume number

Issue number

First page of article

175

ISSN of journal

1865-9284

Year of publication

2011

URL

http://eprints.staffs.ac.uk/1259/

Number of additional authors

Additional information

<12> Funded by EPSRC/IMRC together with COMSOL, EnginSoft and Unilever, this research developed advanced evolutionary computation techniques to break through the complexity ceiling of micro-electromechanical systems (MEMS) design. EnginSoft used the work to showcase their ‘modeFrontier’ product. The research findings supported the creation of the £11.1M EPSRC National Centre “Through-life Engineering Services (TES)”, with seventeen industrial partners including BAE Systems, Rolls Royce, Bombardier Transport, UK MoD. The work introduced a novel research area, and further developments (in the application of multi-objective evolutionary algorithms in multi-level MEMS design optimisation for self-healing systems) are a significant part of core research in TES.

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract