The first issue of Volume 22 of Genetic Programming and Evolvable Machines is now available for download.
It contains:
Editorial introduction
by Lee Spector
Acknowledgement to reviewers (2020)
by Lee Spector
Benchmarking state-of-the-art symbolic regression algorithms
by Jan Žegklitz, Petr Pošík
Stock selection heuristics for performing frequent intraday trading with genetic programming
by Alexander Loginov, Malcolm Heywood, Garnett Wilson
Choosing function sets with better generalisation performance for symbolic regression models
by Miguel Nicolau, Alexandros Agapitos
Fuzzy cognitive maps for decision-making in dynamic environments
by Tomas Nachazel
BOOK REVIEW
Virginia Dignum: Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way
by Nicolas E. Gold
BOOK REVIEW
Tim Taylor and Alan Dorin: Rise of the self-replicators—early visions of machines, AI and robots that can reproduce and evolve
by Stefano Nichele
