article

Soft computing in engineering design optimisation

Authors:

Hossein S. ZadehAuthors Info & Claims

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, Volume 17, Issue 4

Pages 353 - 365

Published: 01 July 2006 Publication History

Abstract

The implementation of Soft Computing methodologies in two aerospace design problems is presented, one being the design of quiet and efficient aircraft propellers, and the other being the manoeuvre control of a satellite. They were chosen as they present very challenging engineering design problems with nonlinearities and discontinuities in the design space. The methodologies used include Simulated Annealing for design optimisation, Neural Networks for system representation and Fuzzy Logic for system control. The choice of these methods over conventional analytical techniques is shown to enable the solution of these design problems. The propeller design methodology described produces designs that have equivalent or improved performance and significantly reduced noise when compared to commercial off-the-shelf designs. The optimal satellite controller described shows significant improvements in reduced settling time and overshoot when compared to conventional controllers.

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Cited By

Almaraashi MJohn RHopgood AAhmadi S(2016)Learning of interval and general type-2 fuzzy logic systems using simulated annealingInformation Sciences: an International Journal10.1016/j.ins.2016.03.047360:C(21-42)Online publication date: 10-Sep-2016
https://dl.acm.org/doi/10.1016/j.ins.2016.03.047

Soft computing in engineering design optimisation
1. Information systems
  1. Data management systems
    1. Database administration
2. Theory of computation
  1. Design and analysis of algorithms

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Published In

cover image Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology Volume 17, Issue 4

SAIS & SSLS Workshop 2005

July 2006

79 pages

ISSN:1064-1246

Editors:
P. Funk
Department of Computer Science and Electronics, Mälardalen University, Västerås, Sweden
,
L. Spaanenburg

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IOS Press

Netherlands

Publication History

Published: 01 July 2006

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Cited By

Almaraashi MJohn RHopgood AAhmadi S(2016)Learning of interval and general type-2 fuzzy logic systems using simulated annealingInformation Sciences: an International Journal10.1016/j.ins.2016.03.047360:C(21-42)Online publication date: 10-Sep-2016
https://dl.acm.org/doi/10.1016/j.ins.2016.03.047

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