Genetic Programming and Evolvable Machines Journal, published by Springer. https://www.springer.com/journal/10710. Editor in chief Leonardo Trujillo. Mastodon feed maintained by James McDermott.
Artificial General Intelligence by Julian Togelius, (review by Vicente Martin Mastrocola) https://link.springer.com/article/10.1007/s10710-025-09515-8
Symbolic Regression by Kronberg et al., (review by Bill La Cava ) https://link.springer.com/article/10.1007/s10710-025-09513-w
Machine learning assisted evolutionary multi- and many-objective optimization by Saxena, et al. (review by Saltuk Buğra Selçuklu ) https://link.springer.com/article/10.1007/s10710-025-09509-6
Evolutionary Robotics by Nolfi and Floreano, (review by Takashi Gomi) https://link.springer.com/article/10.1023/A:1021829228076
Foundations of Genetic Programming by Langdon and Poli, (review by Richard J. Povinelli) https://link.springer.com/article/10.1023/B:GENP.0000030222.30886.fa
Automatic Quantum Computer Programming: A Genetic Programming Approach by Lee Spector (review by Michel Toulouse), https://link.springer.com/article/10.1007/s10710-006-4866-3
Ant Colony Optimizaton by Dorigo and Stutzle (review by Katya Rodríguez Vázquez) https://link.springer.com/article/10.1007/s10710-005-2991-z
A thread of GPEM Journal book reviews, which are now fully open-access!
New book review at GPEM:
Book: "Symbolic Regression" by Kronberger et al
Review by La Cava
https://link.springer.com/article/10.1007/s10710-025-09513-w
Geometric Semantic #geneticprogramming was a big breakthrough in GP in 2012. The relationship between syntax and semantics is - in one way - easy to understand and take advantage of. 10 years later (!), here is the GPEM special issue.
Special issue collection: https://link.springer.com/collections/fegeffihdb
Editorial introduction by Moraglio et al: https://link.springer.com/article/10.1007/s10710-025-09514-9
New paper in GPEM on requirements engineering:
"RSCID: requirements selection considering interactions and dependencies", by Keyvanpour et al.
https://link.springer.com/article/10.1007/s10710-025-09511-y
Now that you've finished CEC revisions... and finalising EuroGP camera-ready.. and you have GECCO acceptance decisions... and you've finished GECCO workshop submissions...
...keep up the momentum to get your paper ready for a GPEM submission!
New book review in GPEM!
Book: The science of soft robots, Suzumori et al.
Review by: Medvet & Salvato
https://link.springer.com/article/10.1007/s10710-025-09508-7
"Constraining genetic symbolic regression via semantic backpropagation" by Reissman et al in GPEM
https://link.springer.com/article/10.1007/s10710-025-09510-z
New book review at GPEM
https://link.springer.com/article/10.1007/s10710-025-09509-6
The special issue on highlights of 2023 #geneticprogramming events, edited by Pappa, Giacobini, Ting Hu, and Jakobović is out:
https://link.springer.com/article/10.1007/s10710-025-09507-8
GECCO paper reviews are due in 1 hour!
(poster reviews are due this time next week)
New paper in GPEM: "Memetic semantic boosting for symbolic regression"
Leite & Schoenauer
https://link.springer.com/article/10.1007/s10710-024-09506-1
From Crary et al, a new article in GPEM:
Using FPGA devices to accelerate the evaluation phase of tree-based genetic programming: an extended analysis
https://link.springer.com/article/10.1007/s10710-024-09505-2
From Alberto Tonda, a review of the PySR library, which is becoming a central resource for symbolic regression users:
https://link.springer.com/article/10.1007/s10710-024-09503-4
Check out this conference:
XVI Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados
May 2025, Donostia-San Sebastián, Spain
Submission deadline 22 February.
Another new paper in GPEM!
'El Nino' weather events, characterised with equations, by Abdulkarimova et al.
https://link.springer.com/article/10.1007/s10710-024-09497-z
New paper in GPEM!
Blood glucose prediction - real-time in hardware, by Cano et al.
https://link.springer.com/article/10.1007/s10710-024-09500-7
New book review!
“Computational evolution of neural and morphological development”, Yaochu Jin, reviewed by Renske Vroomans.
https://link.springer.com/article/10.1007/s10710-024-09499-x
No paywall.
New issue just announced, including several items with open access:
https://link.springer.com/journal/10710/volumes-and-issues/25-2