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Intelligent systems for optimisation and control

Intelligent systems for optimisation and control By considering a number of practical case study examples, the paper highlights some of the design methods of intelligent systems for use in optimisation and control. The paper describes tools and approaches that are used as well as the systems to which they are applied. The approaches include fuzzy logic decision making for optimal start‐up of combined cycle power plant, control and modelling within an automotive air fuel ratio application and optimisation of intensity modulated radiation therapy treatment. These diverse application areas have much in common in regard to the problem‐solving approaches; in recognition of this, generic aspects of the use of intelligent methodologies are also highlighted. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Kybernetes Emerald Publishing

Intelligent systems for optimisation and control

Kybernetes , Volume 29 (5/6): 18 – Jul 1, 2000

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References (23)

Publisher
Emerald Publishing
Copyright
Copyright © 2000 MCB UP Ltd. All rights reserved.
ISSN
0368-492X
DOI
10.1108/03684920010333152
Publisher site
See Article on Publisher Site

Abstract

By considering a number of practical case study examples, the paper highlights some of the design methods of intelligent systems for use in optimisation and control. The paper describes tools and approaches that are used as well as the systems to which they are applied. The approaches include fuzzy logic decision making for optimal start‐up of combined cycle power plant, control and modelling within an automotive air fuel ratio application and optimisation of intensity modulated radiation therapy treatment. These diverse application areas have much in common in regard to the problem‐solving approaches; in recognition of this, generic aspects of the use of intelligent methodologies are also highlighted.

Journal

KybernetesEmerald Publishing

Published: Jul 1, 2000

Keywords: Artificial intelligence; Cybernetics; Fuzzy logic; Genetic algorithms; Optimization; Control

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