A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf
.
Classifier Fitness Based on Accuracy
1995
Evolutionary Computation
In many classifier systems, the classifier strength parameter serves as a predictor of future payoff and as the classifier's fitness for the genetic algorithm. We investigate a classifier system, XCS, in which each classifier maintains a prediction of expected payoff, but the classifier's fitness is given by a measure of the prediction's accuracy. T h e system executes the genetic algorithm in niches defined by the match sets, instead of panmictically. These aspects of XCS result in its
doi:10.1162/evco.1995.3.2.149
fatcat:h5t5olb5pjbi3nn25oxahl3zcy