The first issue of volume 13 of
Genetic Programming and Evolvable Machines is now
available online. It includes a special section on "Evolutionary algorithms for data mining" guest edited by Pierre Collet and Man Leung Wong, along with several other items of interest. The full contents are:
EDITORIAL
"Editorial introduction"
by Lee Spector
"The evolution of higher-level biochemical reaction models"
by Brian J. Ross
"Multi-class pattern classification using single, multi-dimensional feature-space feature extraction evolved by multi-objective genetic programming and its application to network intrusion detection"
by Khaled Badran and Peter Rockett
SOFTWARE REVIEW
"Software review: the ECJ toolkit"
by David R. White
EDITORIAL
"Evolutionary algorithms for data mining"
by Pierre Collet and Man Leung Wong
"Symbiotic coevolutionary genetic programming: a benchmarking study under large attribute spaces"
by John A. Doucette, Andrew R. McIntyre, Peter Lichodzijewski and Malcolm I. Heywood
"Knowledge mining sensory evaluation data: genetic programming, statistical techniques, and swarm optimization"
by Kalyan Veeramachaneni, Ekaterina Vladislavleva and Una-May O’Reilly
ACKNOWLEDGMENT