Polynomial goal programming and particle swarm optimization for enhanced indexation. - Massimiliano Kaucic; Fabrizio Barbini; Federico Julian Camerota Verdù (Soft Comput., 2020)

Parametrizing GP Trees for Better Symbolic Regression Performance through Gradient Descent. - Gloria Pietropolli; Federico Julian Camerota Verdù; Luca Manzoni; Mauro Castelli (GECCO Companion, 2023)

How the Morphology Encoding Influences the Learning Ability in Body-Brain Co-Optimization. - Federico Pigozzi; Federico Julian Camerota Verdù; Eric Medvet (GECCO, 2023)

An evolution strategy approach for the balanced minimum evolution problem. - Andrea Gasparin; Federico Julian Camerota Verdù; Daniele Catanzaro; Lorenzo Castelli (Bioinform., 2023)

Automatic design of interpretable control laws through parametrized Genetic Programming with adjoint state method gradient evaluation. - Francesco Marchetti; Gloria Pietropolli; Federico Julian Camerota Verdù; Mauro Castelli; Edmondo A. Minisci (Appl. Soft Comput., 2024)

Integration of Self-Learning and Assessment Activities Using STACK in a Course of Mathematics in Engineering. - María Ángeles Castro; Federico Julian Camerota Verdù; P. A. García; Antonio Sirvent; Alberto Escapa; J. A. Martínez; Francisco Rodríguez 002 (Rev. Iberoam. de Tecnol. del Aprendiz., 2024)

Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation. - Federico Julian Camerota Verdù; Lorenzo Castelli; Luca Bortolussi (AAAI, 2025)