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.

Tuesday, April 10, 2018

GPEM 19(1&2) is now available

The first issue of Volume 19 (a double issue, numbers 1 and 2) of Genetic Programming and Evolvable Machines is now available for download.

It contains:

Editorial introduction
by Lee Spector

Acknowledgment to reviewers
by L. Spector

Guest editorial: special issue on automated design and adaptation of heuristics for scheduling and combinatorial optimisation
by Su Nguyen, Yi Mei & Mengjie Zhang

Evolving dispatching rules for optimising many-objective criteria in the unrelated machines environment
by Marko Ɖurasević & Domagoj Jakobović

Comparison of ensemble learning methods for creating ensembles of dispatching rules for the unrelated machines environment
by Marko Ɖurasević & Domagoj Jakobović

Optimizing agents with genetic programming: an evaluation of hyper-heuristics in dynamic real-time logistics
by Rinde R. S. van Lon, Juergen Branke & Tom Holvoet

A hyperheuristic approach based on low-level heuristics for the travelling thief problem
by Mohamed El Yafrani, Marcella Martins, Markus Wagner, Belaïd Ahiod, Myriam Delgado & Ricardo Lüders

Evolutionary hyper-heuristics for tackling bi-objective 2D bin packing problems
by Juan Carlos Gomez & Hugo Terashima-Marín

Cooperative evolutionary heterogeneous simulated annealing algorithm for google machine reassignment problem
by Ayad Turky, Nasser R. Sabar & Andy Song

Comparing three online evolvable hardware implementations of a classification system
by Oscar Garnica, Kyrre Glette & Jim Torresen

Evolution of shared grammars for describing simulated spatial scenes with grammatical evolution
by Jack Mario Mingo & Ricardo Aler

Implementing the template method pattern in genetic programming for improved time series prediction
by David Moskowitz

Hod Lipson and Melba Kurman: Driverless: intelligent cars and the road ahead
by Christine Zarges

Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Deep learning
by Jeff Heaton

Christian Blum and Günther R. Raidl: Hybrid metaheuristics—powerful tools for optimization
by Ofer M. Shir