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
BOOK REVIEW
Hod Lipson and Melba Kurman: Driverless: intelligent cars and the road ahead
by Christine Zarges
BOOK REVIEW
Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Deep learning
by Jeff Heaton
BOOK REVIEW
Christian Blum and Günther R. Raidl: Hybrid metaheuristics—powerful tools for optimization
by Ofer M. Shir