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.

Monday, March 6, 2017

GPEM 18(1) is available

The first issue of Volume 18 of Genetic Programming and Evolvable Machines is now available for download.

This is a special issue on Genetic Improvement, edited by Justyna Petke, and it also contains three book reviews.

The complete contents are:

"Editorial introduction"
by Lee Spector Pages 1-2

"Preface to the Special Issue on Genetic Improvement"
by Justyna Petke

"Genetic improvement of GPU software"
by William B. Langdon, Brian Yee Hong Lam, Marc Modat, Justyna Petke, and Mark Harman

"Trading between quality and non-functional properties of median filter in embedded systems"
by Zdenek Vasicek and Vojtech Mrazek

"Online Genetic Improvement on the java virtual machine with ECSELR"
by Kwaku Yeboah-Antwi and Benoit Baudry

BOOK REVIEW
"Krzysztof Krawiec: Behavioral program synthesis with genetic programming" by Raja Muhammad Atif Azad

BOOK REVIEW
"Paul Rendell: Turing machine universality of the Game of Life"
by Moshe Sipper

BOOK REVIEW
"James Keller, Derong Liu, and David Fogel: Fundamentals of computational intelligence: neural networks, fuzzy systems, and evolutionary computation" by Steven Michael Corns

"Acknowledgment to Reviewers"
by L. Spector

Tuesday, January 3, 2017

new members to the GPEM editorial board

 GPEM welcomes the following new members to the editorial board: 
 Anna I Esparcia Alcazar,
 Muhammad Atif Azad,
 Mauro Castelli,
 Ting Hu,
 Michael Lones,
 Evelyne Lutton,
 James Mcdermott,
 Xuan Hoai Nguyen,
 Gabriela Ochoa,
 Gisele Pappa,
 Justyna Petke,
 Leonardo Trujillo Reyes,
 Federica Sarro,
 and Alberto Tonda.

Saturday, November 5, 2016

GPEM 17(4) is now available

The fourth issue of Volume 17 of Genetic Programming and Evolvable Machines is now available for download.

It contains:

"A two-objective memetic approach for the node localization problem in wireless sensor networks" by Mahdi Aziz, Mohammad-H Tayarani-N & Mohammad R. Meybodi

"Evolution of sustained foraging in three-dimensional environments with physics" by Nicolas Chaumont & Christoph Adami

"Dynamic feedback neuro-evolutionary networks for forecasting the highly fluctuating electrical loads" by Gul Muhammad Khan & Faheem Zafari

"Prediction of expected performance for a genetic programming classifier" by Yuliana Martínez, Leonardo Trujillo, Pierrick Legrand & Edgar Galván-López

Thursday, October 27, 2016

SIGEVOlution newsletter volume 9/3 Features GI special Issue paper

The current issue of SIGEVOlution (9/3) describes one of the articles to appear in the forthcoming special issue on Genetic Improvement, to wit:
"Online Genetic Improvement on the java virtual machine with ECSELR" by Kwaku Yeboah-Antwi and Benoit Baudry, which has just appeared on our web pages as an online first article doi:10.1007/s10710-016-9278-4

Bill

Sunday, August 14, 2016

GPEM 17(3) is now available

The third issue of Volume 17 of Genetic Programming and Evolvable Machines is now available for download.

It contains:

"Learning to rank: new approach with the layered multi-population genetic programming on click-through features"
by Amir Hosein Keyhanipour, Behzad Moshiri, Farhad Oroumchian, Maseud Rahgozar & Kambiz Badie

"Prediction of the natural gas consumption in chemical processing facilities with genetic programming"
by Miha Kovačič & Franjo Dolenc

"Unveiling the properties of structured grammatical evolution"
by Nuno Lourenço, Francisco B. Pereira & Ernesto Costa

"An automatic solver for very large jigsaw puzzles using genetic algorithms"
by Dror Sholomon, Omid E. David & Nathan S. Netanyahu

BOOK REVIEW
"Mike Preuss: Multimodal optimization by means of evolutionary algorithms"
by Nailah Al-Madi

BOOK REVIEW
Wolfgang Banzhaf and Lidia Yamamoto: Artificial Chemistries, MIT Press, 2015
by Kyle I. S. Harrington

Saturday, July 23, 2016

Open Choice

As per our discussion in our recent editorial board meeting, our current model for open access publishing, "Open Choice," is described here.