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

Fogarty, T. C.; Bull, L.

Abstract

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.

• Journal Article Type: Article
• Publication Date: May 1, 1995
• Journal: IEE Proceedings: Control Theory and Applications
• Print ISSN: 1350-2379
• Publisher: Institution of Engineering and Technology (IET)
• Peer Reviewed: Not Peer Reviewed
• Volume: 142
• Issue: 3
• Pages: 211-215
• DOI: https://doi.org/10.1049/ip-cta%3A19951864
• Keywords: combustion, genetic algorithms, intelligent control, parallel algorithms, process control, combustion control, individual control rule optimisation, multiple burner installations, multiple communicating rule based control systems, multiple communicating r
• Public URL: https://uwe-repository.worktribe.com/output/1107308
• Publisher URL: http://dx.doi.org/10.1049/ip-cta:19951864