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Federico Pagnozzi
Federico Pagnozzi
Solvice
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Title
Cited by
Cited by
Year
An iterated greedy algorithm with optimization of partial solutions for the makespan permutation flowshop problem
J Dubois-Lacoste, F Pagnozzi, T Stützle
Computers & Operations Research 81, 160-166, 2017
1102017
Automatic off-line design of robot swarms: a manifesto
M Birattari, A Ligot, D Bozhinoski, M Brambilla, G Francesca, L Garattoni, ...
Frontiers in Robotics and AI 6, 59, 2019
792019
Automatic design of hybrid stochastic local search algorithms for permutation flowshop problems
F Pagnozzi, T Stützle
European journal of operational research 276 (2), 409-421, 2019
542019
Automatic algorithm design for hybrid flowshop scheduling problems
P Alfaro-Fernández, R Ruiz, F Pagnozzi, T Stützle
European Journal of Operational Research 282 (3), 835-845, 2020
302020
Automatic Configuration of GCC Using Irace
L Pérez Cáceres, F Pagnozzi, A Franzin, T Stützle
Artificial Evolution: 13th International Conference, Évolution Artificielle …, 2018
292018
Automatic design of hybrid stochastic local search algorithms for permutation flowshop problems with additional constraints
F Pagnozzi, T Stützle
Operations Research Perspectives 8, 100180, 2021
102021
Speeding up local search for the insert neighborhood in the weighted tardiness permutation flowshop problem
F Pagnozzi, T Stützle
Optimization Letters 11 (7), 1283-1292, 2017
72017
Off-policy evaluation of the performance of a robot swarm: Importance sampling to assess potential modifications to the finite-state machine that controls the robots
F Pagnozzi, M Birattari
Frontiers in Robotics and AI 8, 625125, 2021
42021
Evaluating the impact of grammar complexity in automatic algorithm design
F Pagnozzi, T Stützle
International Transactions in Operational Research 29 (5), 2789-2814, 2022
32022
The automatic off-line design of robot swarms: recent advances and perspectives
DG Ramos, D Bozhinoski, G Francesca, L Garattoni, K Hasselmann, ...
R2T2: Robotics Research for Tomorrow’s Technology, 2021
32021
Automatic off-line design of robot swarms: a manifesto. Front. Robot. AI 6, 59 (2019)
M Birattari, A Ligot, D Bozhinoski, M Brambilla, G Francesca, L Garattoni, ...
32019
Abstracting models from execution traces for performing formal verification
T Bodhuin, F Pagnozzi, A Santone, M Tortorella, ML Villani
Advances in Software Engineering: International Conference on Advanced …, 2009
32009
Operations Research Perspectives
F Pagnozzi, T Stützle
Operations Research 8, 100180, 2021
2021
Automatic Design of Hybrid Stochastic Local Search Algorithms-analysis and application
F Pagnozzi
Université libre de Bruxelles, 2019
2019
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