Evolutionary algorithms are proving viable in solving complex optimization
problems such as those typical of supervised learning approaches to image u
nderstanding. This paper presents an evolutionary approach to image classif
ication and discusses some experimental results, suggesting that genetic pr
ogramming could provide a convenient alternative to standard supervised lea
rning methods. (C) 2002 Elsevier Science B.V. All rights reserved.