Homogeneous and Heterogeneous Island Models for the Set Cover Problem. - Andrea Mambrini; Dirk Sudholt; Xin Yao 001 (PPSN (1), 2012)

Theory-laden design of mutation-based Geometric Semantic Genetic Programming for learning classification trees. - Andrea Mambrini; Luca Manzoni; Alberto Moraglio (IEEE Congress on Evolutionary Computation, 2013)

Runtime analysis of mutation-based geometric semantic genetic programming on boolean functions. - Alberto Moraglio; Andrea Mambrini; Luca Manzoni (FOGA, 2013)

Runtime analysis of mutation-based geometric semantic genetic programming for basis functions regression. - Alberto Moraglio; Andrea Mambrini (GECCO, 2013)

A comparison between geometric semantic GP and cartesian GP for boolean functions learning. - Andrea Mambrini; Luca Manzoni (GECCO (Companion), 2014)

Design and analysis of adaptive migration intervals in parallel evolutionary algorithms. - Andrea Mambrini; Dirk Sudholt (GECCO, 2014)

PaDe: A Parallel Algorithm Based on the MOEA/D Framework and the Island Model. - Andrea Mambrini; Dario Izzo (PPSN, 2014)

Design and Analysis of Schemes for Adapting Migration Intervals in Parallel Evolutionary Algorithms. - Andrea Mambrini; Dirk Sudholt (Evol. Comput., 2015)

Theory grounded design of genetic programming and parallel evolutionary algorithms. - Andrea Mambrini (2015)

On the Analysis of Simple Genetic Programming for Evolving Boolean Functions. - Andrea Mambrini; Pietro S. Oliveto (EuroGP, 2016)

PRINCIPIA: a Decentralized Peer-Review Ecosystem. - Andrea Mambrini; Andrea Baronchelli; Michele Starnini; Daniele Marinazzo; Manlio De Domenico (CoRR, 2020)