The fourth issue of Volume 22 of Genetic Programming and Evolvable Machines is now available for download. This is a Special Issue on Highlights of Genetic Programming 2020 Events, edited by Miguel Nicolau, Ting Hu, Mengjie Zhang, and Nuno Lourenço.
It contains:
Highlights of genetic programming 2020 events
by Miguel Nicolau
Evolving continuous optimisers from scratch
by Michael A. Lones
Evolutionary algorithms for designing reversible cellular automata
by Luca Mariot, Stjepan Picek, Domagoj Jakobovic & Alberto Leporati
A semantic genetic programming framework based on dynamic targets
by Stefano Ruberto, Valerio Terragni & Jason H. Moore
Relationships between parent selection methods, looping constructs, and success rate in genetic programming
by Anil Kumar Saini and Lee Spector
EvoStencils: a grammar-based genetic programming approach for constructing efficient geometric multigrid methods
by Jonas Schmitt, Sebastian Kuckuk & Harald Köstler
Semantically-oriented mutation operator in cartesian genetic programming for evolutionary circuit design
by David Hodan, Vojtech Mrazek & Zdenek Vasicek
Evolving hierarchical memory-prediction machines in multi-task reinforcement learning
by Stephen Kelly, Tatiana Voegerl, Wolfgang Banzhaf & Cedric Gondro
Graph representations in genetic programming
by Léo Françoso Dal Piccol Sotto, Paul Kaufmann, Timothy Atkinson, Roman Kalkreuth & Márcio Porto Basgalupp
