Intelligent Exploration Method to Adapt Exploration Rate in XCS, Based on Adaptive Fuzzy Genetic Algorithm
Ali Hamzeh, Adel Rahmani, Nahid Parsa · 2006
In this paper, we propose an extension to the intelligent exploration method which is introduced in our previous work. IEM is an intelligent exploration method that is used to tune the exploration rate in XCS. In this paper we improve the IEM's performance using a learning fuzzy controller instead of the static one in IEM. The new system is called IEMII (IEM 2) and is compared with the IEM and the traditional XCS in some benchmark problems