GPEM 16(1) available

As Bill notes below, GPEM 16(1) is now available. It contains:

"Editorial Introduction"
by Lee Spector

"Training genetic programming classifiers by vicinal-risk minimization"
by Ji Ni & Peter Rockett

"Improving GP generalization: a variance-based layered learning approach"
by Maryam Amir Haeri, Mohammad Mehdi Ebadzadeh & Gianluigi Folino

"GA-based approach to find the stabilizers of a given sub-space"
by Mahboobeh Houshmand, Morteza Saheb Zamani, Mehdi Sedighi & Monireh Houshmand

Letter
"A C++ framework for geometric semantic genetic programming"
by Mauro Castelli, Sara Silva & Leonardo Vanneschi

Letter
"Introducing a cross platform open source Cartesian Genetic Programming library"
by Andrew James Turner & Julian Francis Miller

"Acknowledgment"
by L. Spector