About the GPEMjournal blog

This is the editor's blog for the journal Genetic Programming and Evolvable Machines. The official web site for the journal, maintained by the publisher (Springer) is here. The GPEMjournal blog is authored and maintained by Lee Spector.

Sunday, September 18, 2011

New impact factor

The journal received its first impact factor from Journal Citation Reports last year (2010), for the 2009 publication year. Now (in 2011) we have new numbers for the 2010 publication year. They have improved somewhat and are, I think, strong for a journal as young as Genetic Programming and Evolvable Machines:

Impact factor: 1.167
Rank in category: Artificial Intelligence: 63 out of 108
Rank in category: Theory and Methods: 41 out of 97

Journal Citation Reports also provides an Immediacy Index, for which our numbers are:

Immediacy index: 0.143
Rank in category: Artificial Intelligence: 64 out of 108
Rank in category: Theory and Methods: 52 out of 97

Friday, September 16, 2011

Programming excel from training examples

Remember people said GP could not program a spread sheet, well it seems microsoft has done it. At PASTE 2011 last week Sumit Gulwani gave a keynote which included discussion of his recent paper at PLDI http://www.cs.bham.ac.uk/~wbl/biblio/gp-html/Harris_2011_SIGPlan.html in which he describes a research tool which allowed users to program microsoft tools (such as their spread sheet excell and their word processor) from training examples. Ie automatically create macros and short scripts for users who do not wish to remember how to program. Technical details are a bit sketchy but it seems something like GP is in there. It may be available commercially in the future.


Saturday, September 3, 2011

GPEM 12(4) now available online

The fourth issue of volume 12 of Genetic Programming and Evolvable Machines is now available online, with the following articles:

"Evolution of human-competitive lossless compression algorithms with GP-zip2"
by Ahmed Kattan and Riccardo Poli

"Defining locality as a problem difficulty measure in genetic programming"
by Edgar Galván-López, James McDermott, Michael O’Neill and Anthony Brabazon

"Accelerating floating-point fitness functions in evolutionary algorithms: a FPGA-CPU-GPU performance comparison"
by Juan A. Gomez-Pulido, Miguel A. Vega-Rodriguez, Juan M. Sanchez-Perez, Silvio Priem-Mendes and Vitor Carreira

"Long memory time series forecasting by using genetic programming"
by Emiliano Carreño Jara

"GPLAB: software review"
by Indriyati Atmosukarto

"Trent McConaghy, P. Palmers, G. Peng, Michiel Steyaert, Georges Gielen: Variation-aware analog structural synthesis: a computational intelligence approach"
by John Rieffel

"Paul Coates: Programming architecture"
by Benachir Medjdoub