By Topic

Optimising individual control rules and multiple communicating rule-based control systems with parallel distributed genetic algorithms

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $33
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
T. C. Fogarty ; Fac. of Comput. Studies & Math., Univ. of the West of England, Bristol, UK ; L. Bull

Genetic algorithms can be used to optimise either individual process control rules or complete rule based controllers. The paper describes the optimisation of individual rules to control combustion in multiple burner installations. To solve more complex problems where more than one rule base is necessary a method of optimising multiple communicating rule based control systems with distributed genetic algorithms working in parallel is proposed. The method is demonstrated on a track following task using two communicating rule bases to control a vehicle

Published in:

IEE Proceedings - Control Theory and Applications  (Volume:142 ,  Issue: 3 )