More on designing fuzzy controllers using genetic algorithms: guided constrained optimisation

Abstract

The design of fuzzy controllers using the genetic algorithm is appearing as a systematic method. This method easily provides an optimised design and forms the framework for further progress. This paper attempts to provide some methods to improve interpretability in genetic algorithm-designed fuzzy logic controllers as well as to reduce the amount of genetic material required to represent a complex fuzzy controller. This paper also introduces the concept of guided constrained optimisation.