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

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