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, August 22, 2023

Continuous publication

Beginning with Volume 24, Genetic Programming and Evolvable Machines has adopted a "continuous publication" model, in which articles are published in open issues as soon as their production processes are complete. 

In this context it no longer seems to make sense to post new issue announcements on this blog. 

To see the latest published articles, please check the Volumes and Issues section of the journal's website.

Friday, February 17, 2023

Tuesday, November 15, 2022

GPEM 23(4) is now available

The fourth issue of Volume 23 of Genetic Programming and Evolvable Machines is now available for download.

This issue includes papers in the Special Issue on Evolutionary Computation in Art, Music and Design.

It contains:

A novel tree-based representation for evolving analog circuits and its application to memristor-based pulse generation circuit
by Xinming Shi, Leandro L. Minku, and Xin Yao

Using estimation of distribution algorithm for procedural content generation in video games
by Arash Moradi Karkaj and Shahriar Lotfi

Complexity and aesthetics in generative and evolutionary art
by Jon McCormack and Camilo Cruz Gambardella

Experiments in evolutionary image enhancement with ELAINE
by João Correia, Daniel Lopes, Leonardo Vieira, Nereida Rodriguez-Fernandez, Adrian Carballal, Juan Romero and Penousal Machado

Melanie Mitchell: Artificial intelligence—a guide for thinking humans
by Didem Özkiziltan

Machado, Romero and Greenfield (editors): Artificial intelligence and the arts
by Anna Jordanous

The evolution of complexity
by Emily Dolson

Ying Bi, Bing Xue, Mengjie Zhang: Genetic programming for image classification—an automated approach to feature learning
by Amelia Zafra

GPEM 23(3) is now available

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

Tuesday, July 12, 2022

GECCO 2022 impact award

The ten year GECCO 2022 award, announced yesterday, for most impact paper formed the basis for a paper in GP+EM:

"Better GP benchmarks: community survey results and proposals" by David R. White and James McDermott and Mauro Castelli and Luca Manzoni and Brian W. Goldman and Gabriel Kronberger and Wojciech Jaskowski and Una-May O'Reilly and Sean Luke. Genetic Programming and Evolvable Machines, 14(1):3-29, 2013.

Sunday, May 15, 2022

GPEM 23(2) is now available

The second issue of Volume 23 of Genetic Programming and Evolvable Machines is now available for download.

It contains:

Blood glucose prediction using multi-objective grammatical evolution: analysis of the “agnostic” and “what-if” scenarios
by Sergio Contador, J. Manuel Colmenar, Oscar Garnica, J. Manuel Velasco, J. Ignacio Hidalgo

On the performance of the Bayesian optimization algorithm with combined scenarios of search algorithms and scoring metrics
by Ciniro A. L. Nametala, Wandry R. Faria, Benvindo R. Pereira Júnior

Evolving cellular automata schemes for protein folding modeling using the Rosetta atomic representation
by Daniel Varela, José Santos

Genetic programming for iterative numerical methods
by Dominik Sobania, Jonas Schmitt, Harald Köstler, Franz Rothlauf

GP-DMD: a genetic programming variant with dynamic management of diversity
by Ricardo Nieto-Fuentes, Carlos Segura

Saturday, April 2, 2022

GPEM 23(1) is now available

The first issue of Volume 23 of Genetic Programming and Evolvable Machines is now available for download.

It contains:

Editorial introduction
by Lee Spector

Acknowledgment to reviewers (2021)
by Lee Spector

Inference of time series components by online co-evolution
by Danil Koryakin, Sebastian Otte, Martin V. Butz

Constant optimization and feature standardization in multiobjective genetic programming
by Peter Rockett

Genetic programming convergence
by W. B. Langdon

Automatic generation of regular expressions for the Regex Golf challenge using a local search algorithm
by André Almeida Farzat, Márcio Oliveira Barros

Generating networks of genetic processors
by Marcelino Campos, José M. Sempere

Robert Elliott Smith: Rage Inside the Machine—the prejudice of algorithms, and how to stop the internet making bigots of us all
by Walid Magdy

Artificial intelligence for fashion, Leanne Luce, Apress 2019, ISBN 978-1-4842-3930-8 how AI is revolutionizing the fashion industry
by Grace Buttler