Towards the use of XCS in interactive evolutionary design
Larry Bull, Dave Wyatt, Ian C. Parmee · 2002
Learning classifier systems represent a technique by which various characteristics of a given problem space may be deduced and presented to the user in a readable format. W present results from the use of XCS on simple tasks with the general multi-variable features typically found in problems addressed by an Interactive Evolutionary Design process. That is, we examine the behaviour of XCS with versions of a well-known single-step task and consider the speed of learning, noise, and the ability to respond to changes. We introduce a simple form of supervised learning for XCS with the aim of improving its performance with respect to these