Straipsniai su viešo pasiekiamumo įpareigojimais - Luca Di GasperoSužinokite daugiau
Niekur nepasiekiama: 4
Simulated annealing for the home healthcare routing and scheduling problem
S Ceschia, L Di Gaspero, A Schaerf
International Conference of the Italian Association for Artificial …, 2022
Įpareigojimai: Government of Italy
Reinforcement learning for multi-neighborhood local search in combinatorial optimization
S Ceschia, L Di Gaspero, RM Rosati, A Schaerf
International Conference on Machine Learning, Optimization, and Data Science …, 2023
Įpareigojimai: Government of Italy
Local search strategies for multi-objective flowshop scheduling: introducing Pareto late acceptance hill climbing
F Da Ros, L Di Gaspero
Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023
Įpareigojimai: Government of Italy
Exploring the potential of jules: A white box framework for local search metaheuristics
F Da Ros, L Di Gaspero
Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023
Įpareigojimai: Government of Italy
Kur nors pasiekiama: 6
Balancing bike sharing systems with constraint programming
LD Gaspero, A Rendl, T Urli
Constraints 21, 318-348, 2016
Įpareigojimai: Australian Research Council
Automated shift design and break scheduling
L Di Gaspero, J Gärtner, N Musliu, A Schaerf, W Schafhauser, W Slany
Automated Scheduling and Planning: From Theory to Practice, 109-127, 2013
Įpareigojimai: Austrian Science Fund
An extended regularized adjusted plus-minus analysis for lineup management in basketball using play-by-play data
L Grassetti, R Bellio, L Di Gaspero, G Fonseca, P Vidoni
IMA Journal of Management Mathematics 32 (4), 385-409, 2021
Įpareigojimai: Government of Italy
Solving a real-world nurse rostering problem by simulated annealing
S Ceschia, L Di Gaspero, V Mazzaracchio, G Policante, A Schaerf
Operations Research for Health Care 36, 100379, 2023
Įpareigojimai: Government of Italy
Multi-neighborhood simulated annealing for the sports timetabling competition ITC2021
RM Rosati, M Petris, L Di Gaspero, A Schaerf
Journal of Scheduling 25 (3), 301-319, 2022
Įpareigojimai: Government of Italy
Exact and metaheuristic methods for a real-world examination timetabling problem
M Carlsson, S Ceschia, L Di Gaspero, RØ Mikkelsen, A Schaerf, ...
Journal of Scheduling 26 (4), 353-367, 2023
Įpareigojimai: Innovation Fund Denmark
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