Intelligent systems for optimisation and control

Keith J. Burnham, Olivier C.L. Haas, D.J.G. James

Research output: Contribution to journalArticle

2 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)716 - 733
JournalKybernetes
Volume29
Issue number5/6
DOIs
Publication statusPublished - 2000

Fingerprint

Intelligent systems
Intelligent Systems
Intensity-modulated Radiation Therapy
Combined cycle power plants
Plant startup
Optimization
Start-up
Radiotherapy
Power Plant
Fuzzy Logic
Fuzzy logic
Design Method
Decision making
Decision Making
Cycle
Methodology
Air
Modeling

Bibliographical note

This paper is not yet available on the repository

Keywords

  • Artificial intelligence
  • Cybernetics
  • Fuzzy logic
  • Genetic algorithms
  • Optimization
  • Control

Cite this

Intelligent systems for optimisation and control. / Burnham, Keith J.; Haas, Olivier C.L.; James, D.J.G.

In: Kybernetes, Vol. 29, No. 5/6, 2000, p. 716 - 733.

Research output: Contribution to journalArticle

Burnham, Keith J. ; Haas, Olivier C.L. ; James, D.J.G. / Intelligent systems for optimisation and control. In: Kybernetes. 2000 ; Vol. 29, No. 5/6. pp. 716 - 733.
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