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ORCIDAndrea Mambrini
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2020 – today
- 2020
[i1]Andrea Mambrini, Andrea Baronchelli, Michele Starnini, Daniele Marinazzo, Manlio De Domenico:
PRINCIPIA: a Decentralized Peer-Review Ecosystem. CoRR abs/2008.09011 (2020)
2010 – 2019
- 2016
- [c8]Andrea Mambrini, Pietro S. Oliveto
:
On the Analysis of Simple Genetic Programming for Evolving Boolean Functions. EuroGP 2016: 99-114 - 2015
- [b1]Andrea Mambrini:
Theory grounded design of genetic programming and parallel evolutionary algorithms. University of Birmingham, UK, 2015 - [j1]Andrea Mambrini, Dirk Sudholt:
Design and Analysis of Schemes for Adapting Migration Intervals in Parallel Evolutionary Algorithms. Evol. Comput. 23(4): 559-582 (2015) - 2014
- [c7]Andrea Mambrini, Luca Manzoni:
A comparison between geometric semantic GP and cartesian GP for boolean functions learning. GECCO (Companion) 2014: 143-144 - [c6]Andrea Mambrini, Dirk Sudholt:
Design and analysis of adaptive migration intervals in parallel evolutionary algorithms. GECCO 2014: 1047-1054 - [c5]Andrea Mambrini, Dario Izzo:
PaDe: A Parallel Algorithm Based on the MOEA/D Framework and the Island Model. PPSN 2014: 711-720 - 2013
- [c4]Andrea Mambrini, Luca Manzoni, Alberto Moraglio:
Theory-laden design of mutation-based Geometric Semantic Genetic Programming for learning classification trees. IEEE Congress on Evolutionary Computation 2013: 416-423 - [c3]Alberto Moraglio, Andrea Mambrini, Luca Manzoni:
Runtime analysis of mutation-based geometric semantic genetic programming on boolean functions. FOGA 2013: 119-132 - [c2]Alberto Moraglio, Andrea Mambrini:
Runtime analysis of mutation-based geometric semantic genetic programming for basis functions regression. GECCO 2013: 989-996 - 2012
- [c1]Andrea Mambrini, Dirk Sudholt, Xin Yao:
Homogeneous and Heterogeneous Island Models for the Set Cover Problem. PPSN (1) 2012: 11-20
Coauthor Index
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