The third issue of Volume 23 of Genetic Programming and Evolvable Machines is now available for download.
This is a Special Issue on Highlights of Genetic Programming 2021 Events, edited by Leonardo Trujillo, Nuno Lourenço, Ting Hu, and Mengjie Zhang.
It contains:
Editorial Introduction
by Leonardo Trujillo, Ting Hu, Nuno Lourenço, and Mengjie Zhang
Interpretability in symbolic regression: a benchmark of explanatory methods using the Feynman data set
by Guilherme Seidyo Imai Aldeia and Fabrício Olivetti de França
Evolutionary approximation and neural architecture search
by Michal Pinos, Vojtech Mrazek, and Lukas Sekanina
Applying genetic programming to PSB2: the next generation program synthesis benchmark suite
by Thomas Helmuth and Peter Kelly
Severe damage recovery in evolving soft robots through differentiable programming
by Kazuya Horibe, Kathryn Walker, Rasmus Berg Palm, Shyam Sudhakaran, and Sebastian Risi
A grammar-based GP approach applied to the design of deep neural networks
by Ricardo H. R. Lima, Dimmy Magalhães, Aurora Pozo, Alexander Mendiburu, and Roberto Santana
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