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.