TY - GEN
T1 - On improving generalisation in genetic programming
AU - Costelloe, Dan
AU - Ryan, Conor
PY - 2009
Y1 - 2009
N2 - This paper is concerned with the generalisation performance of GP. We examine the generalisation of GP on some well-studied test problems and also critically examine the performance of some well known GP improvements from a generalisation perspective. From this, the need for GP practitioners to provide more accurate reports on the generalisation performance of their systems on problems studied is highlighted. Based on the results achieved, it is shown that improvements in training performance thanks to GP-enhancements represent only half of the battle.
AB - This paper is concerned with the generalisation performance of GP. We examine the generalisation of GP on some well-studied test problems and also critically examine the performance of some well known GP improvements from a generalisation perspective. From this, the need for GP practitioners to provide more accurate reports on the generalisation performance of their systems on problems studied is highlighted. Based on the results achieved, it is shown that improvements in training performance thanks to GP-enhancements represent only half of the battle.
UR - http://www.scopus.com/inward/record.url?scp=67650675478&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-01181-8_6
DO - 10.1007/978-3-642-01181-8_6
M3 - Conference contribution
AN - SCOPUS:67650675478
SN - 3642011802
SN - 9783642011801
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 61
EP - 72
BT - Genetic Programming - 12th European Conference, EuroGP 2009, Proceedings
T2 - 12th European Conference on Genetic Programming, EuroGP 2009
Y2 - 15 April 2009 through 17 April 2009
ER -