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