E-LIB Suche - Ergebnisse für: Di Gaspero, Luca

1

Reinforcement Learning for Multi-Neighborhood Local Search ..:

, In: Machine Learning, Optimization, and Data Science; Lecture Notes in Computer Science,

Ceschia, Sara ; Di Gaspero, Luca ; Rosati, Roberto Maria. - p. 206-221 , 2024

Link: https://doi.org/10.1007/..

2

Enhancing Real-World Applicability in Home Healthcare: A Me..:

, In: Metaheuristics; Lecture Notes in Computer Science,

Ceschia, Sara ; Di Gaspero, Luca ; Mancini, Simona... - p. 164-170 , 2024

Link: https://doi.org/10.1007/..

3

Supporting Fair and Efficient Emergency Medical Services in..:

Da Ros, Francesca ; Di Gaspero, Luca ; Roitero, Kevin...
Journal of Healthcare Informatics Research. 8 (2024) 2 - p. 400-437 , 2024

Link: https://doi.org/10.1007/..

4

An Empirical Analysis of Tabu Lists:

, In: Metaheuristics; Lecture Notes in Computer Science,

Da Ros, Francesca ; Di Gaspero, Luca - p. 50-64 , 2024

Link: https://doi.org/10.1007/..

5

Exploring the Potential of JuLeS: A White Box Framework for..:

, In: Proceedings of the Companion Conference on Genetic and Evolutionary Computation,

Da Ros, Francesca ; Di Gaspero, Luca - p. 191-194 , 2023

Link: https://dl.acm.org/doi/1..

6

Local Search Strategies for Multi-Objective Flowshop Schedu..:

, In: Proceedings of the Companion Conference on Genetic and Evolutionary Computation,

Da Ros, Francesca ; Di Gaspero, Luca - p. 61-62 , 2023

Link: https://dl.acm.org/doi/1..

7

Metaheuristics: 14th International Conference, MIC 2022, Sy..

Lecture Notes in Computer Science, 13838

Di Gaspero, Luca ; Festa, Paola ; Nakib, Amir. - 1st ed. 2023 . , 2023

Link: https://doi.org/10.1007/..

8

A Multi-objective Biased Random-Key Genetic Algorithm for t..:

, In: Metaheuristics; Lecture Notes in Computer Science,

Da Ros, Francesca ; Di Gaspero, Luca ; La Barbera, David... - p. 449-456 , 2023

Link: https://doi.org/10.1007/..

9

Solving a real-world nurse rostering problem by Simulated A..:

Ceschia, Sara ; Di Gaspero, Luca ; Mazzaracchio, Vincenzo..
Operations Research for Health Care. 36 (2023) - p. 100379 , 2023

Link: https://doi.org/10.1016/..

10

Educational timetabling: Problems, benchmarks, and state-of..:

Ceschia, Sara ; Di Gaspero, Luca ; Schaerf, Andrea
European Journal of Operational Research. 308 (2023) 1 - p. 1-18 , 2023

Link: https://doi.org/10.1016/..

11

Simulated Annealing for the Home Healthcare Routing and Sch..:

, In: AIxIA 2022 – Advances in Artificial Intelligence; Lecture Notes in Computer Science,

Ceschia, Sara ; Di Gaspero, Luca ; Schaerf, Andrea - p. 402-412 , 2023

Link: https://doi.org/10.1007/..

12

Exact and metaheuristic methods for a real-world examinatio..:

Carlsson, Mats ; Ceschia, Sara ; Di Gaspero, Luca...
Journal of Scheduling. , 2023

Link: https://doi.org/10.1007/..

13

Multi-Neighborhood simulated annealing for the minimum inte..:

Ceschia, Sara ; Di Gaspero, Luca ; Rosati, Roberto Maria.
EURO Journal on Computational Optimization. 10 (2022) - p. 100024 , 2022

Link: https://doi.org/10.1016/..

14

Special issue on "Metaheuristics: Recent Advances and Appli..:

di Gaspero, Luca ; Festa, Paola ; Nakib, Amir..
International Transactions in Operational Research. 30 (2022) 2 - p. 1179-1180 , 2022

Link: https://doi.org/10.1111/..

15

Multi-neighborhood simulated annealing for the sports timet..:

Rosati, Roberto Maria ; Petris, Matteo ; Di Gaspero, Luca.
Journal of Scheduling. 25 (2022) 3 - p. 301-319 , 2022

Link: https://doi.org/10.1007/..