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Sara Ceschia
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2020 – today
- 2024
- [j28]Sara Ceschia
, Andrea Schaerf
:
Multi-neighborhood simulated annealing for the capacitated facility location problem with customer incompatibilities. Comput. Ind. Eng. 188: 109858 (2024) - [j27]Sara Ceschia
, Margaretha Gansterer, Simona Mancini, Antonella Meneghetti
:
Solving the Online On-Demand Warehousing Problem. Comput. Oper. Res. 170: 106760 (2024) - [c9]Eugenia Zanazzo, Sara Ceschia
, Andrea Schaerf
:
Solving the Integrated Patient-to-Room and Nurse-to-Patient Assignment by Simulated Annealing. MIC (1) 2024: 158-163 - [c8]Sara Ceschia
, Luca Di Gaspero
, Simona Mancini
, Vittorio Maniezzo
, Roberto Montemanni
, Roberto Maria Rosati
, Andrea Schaerf
:
Enhancing Real-World Applicability in Home Healthcare: A Metaheuristic Approach for Advanced Routing and Scheduling. MIC (1) 2024: 164-170 - [c7]Sara Ceschia, Francesca Da Ros, Luca Di Gaspero, Andrea Schaerf:
EasyLocal++ a 25-year Perspective on Local Search Frameworks: The Evolution of a Tool for the Design of Local Search Algorithm. GECCO Companion 2024: 1658-1667 - 2023
- [j26]Sara Ceschia
, Luca Di Gaspero
, Andrea Schaerf
:
Educational timetabling: Problems, benchmarks, and state-of-the-art results. Eur. J. Oper. Res. 308(1): 1-18 (2023) - [j25]Sara Ceschia
, Margaretha Gansterer
, Simona Mancini
, Antonella Meneghetti
:
The on-demand warehousing problem. Int. J. Prod. Res. 61(10): 3152-3170 (2023) - [j24]Mats Carlsson, Sara Ceschia
, Luca Di Gaspero, Rasmus Ø. Mikkelsen
, Andrea Schaerf, Thomas Jacob Riis Stidsen
:
Exact and metaheuristic methods for a real-world examination timetabling problem. J. Sched. 26(4): 353-367 (2023) - [j23]Marcelo Rodrigues de Holanda Maia
, Miguel Reula
, Consuelo Parreño-Torres
, Prem Prakash Vuppuluri
, Alexandre Plastino
, Uéverton S. Souza
, Sara Ceschia
, Mario Pavone
, Andrea Schaerf
:
Metaheuristic techniques for the capacitated facility location problem with customer incompatibilities. Soft Comput. 27(8): 4685-4698 (2023) - [c6]Sara Ceschia
, Luca Di Gaspero
, Roberto Maria Rosati
, Andrea Schaerf
:
Reinforcement Learning for Multi-Neighborhood Local Search in Combinatorial Optimization. LOD (2) 2023: 206-221 - 2022
- [j22]Sara Ceschia
, Kevin Roitero
, Gianluca Demartini
, Stefano Mizzaro
, Luca Di Gaspero
, Andrea Schaerf
:
Task design in complex crowdsourcing experiments: Item assignment optimization. Comput. Oper. Res. 148: 105995 (2022) - [j21]Sara Ceschia
, Luca Di Gaspero
, Roberto Maria Rosati
, Andrea Schaerf
:
Multi-Neighborhood simulated annealing for the minimum interference frequency assignment problem. EURO J. Comput. Optim. 10: 100024 (2022) - [j20]Edoardo Bastianetto, Sara Ceschia
, Andrea Schaerf
:
Correction to: Solving a home energy management problem by Simulated Annealing. Optim. Lett. 16(3): 1103 (2022) - [c5]Sara Ceschia
, Luca Di Gaspero
, Andrea Schaerf
:
Simulated Annealing for the Home Healthcare Routing and Scheduling Problem. AI*IA 2022: 402-412 - [c4]Valentina Cacchiani
, Sara Ceschia
, Silvia Mignardi
, Chiara Buratti
:
Metaheuristic Algorithms for UAV Trajectory Optimization in Mobile Networks. MIC 2022: 30-44 - [c3]Andrea Ecoretti, Sara Ceschia
, Andrea Schaerf
:
Local Search for Integrated Predictive Maintenance and Scheduling in Flow-Shop. MIC 2022: 260-273 - [i4]Sara Ceschia, Luca Di Gaspero, Andrea Schaerf:
Educational Timetabling: Problems, Benchmarks, and State-of-the-Art Results. CoRR abs/2201.07525 (2022) - 2021
- [j19]Ruggero Bellio, Sara Ceschia
, Luca Di Gaspero, Andrea Schaerf:
Two-stage multi-neighborhood simulated annealing for uncapacitated examination timetabling. Comput. Oper. Res. 132: 105300 (2021) - [j18]Edoardo Bastianetto, Sara Ceschia
, Andrea Schaerf
:
Solving a home energy management problem by Simulated Annealing. Optim. Lett. 15(5): 1553-1564 (2021) - 2020
- [j17]Sara Ceschia
, Rosita Guido
, Andrea Schaerf
:
Solving the static INRC-II nurse rostering problem by simulated annealing based on large neighborhoods. Ann. Oper. Res. 288(1): 95-113 (2020) - [j16]Antonella Meneghetti
, Sara Ceschia
:
Energy-efficient frozen food transports: the Refrigerated Routing Problem. Int. J. Prod. Res. 58(14): 4164-4181 (2020) - [j15]Davide Armellini, Paolo Borzone, Sara Ceschia
, Luca Di Gaspero
, Andrea Schaerf
:
Modeling and solving the steelmaking and casting scheduling problem. Int. Trans. Oper. Res. 27(1): 57-90 (2020) - [c2]Michele Battistutta, Sara Ceschia
, Fabio De Cesco, Luca Di Gaspero
, Andrea Schaerf
, Elena Topan:
Local Search and Constraint Programming for a Real-World Examination Timetabling Problem. CPAIOR 2020: 69-81
2010 – 2019
- 2019
- [j14]Sara Ceschia
, Nguyen Dang
, Patrick De Causmaecker
, Stefaan Haspeslagh
, Andrea Schaerf
:
The Second International Nurse Rostering Competition. Ann. Oper. Res. 274(1-2): 171-186 (2019) - [j13]Michele Battistutta, Sara Ceschia
, Fabio De Cesco, Luca Di Gaspero, Andrea Schaerf
:
Modelling and solving the thesis defense timetabling problem. J. Oper. Res. Soc. 70(7): 1039-1050 (2019) - 2017
- [j12]Alex Bonutti, Sara Ceschia
, Fabio De Cesco, Nysret Musliu
, Andrea Schaerf
:
Modeling and solving a real-life multi-skill shift design problem. Ann. Oper. Res. 252(2): 365-382 (2017) - [j11]Sara Ceschia
, Luca Di Gaspero
, Andrea Schaerf
:
Solving discrete lot-sizing and scheduling by simulated annealing and mixed integer programming. Comput. Ind. Eng. 114: 235-243 (2017) - 2016
- [j10]Ruggero Bellio, Sara Ceschia
, Luca Di Gaspero, Andrea Schaerf
, Tommaso Urli:
Feature-based tuning of simulated annealing applied to the curriculum-based course timetabling problem. Comput. Oper. Res. 65: 83-92 (2016) - [j9]Sara Ceschia
, Andrea Schaerf
:
Dynamic patient admission scheduling with operating room constraints, flexible horizons, and patient delays. J. Sched. 19(4): 377-389 (2016) - 2015
- [i3]Sara Ceschia, Nguyen Dang Thi Thanh, Patrick De Causmaecker, Stefaan Haspeslagh, Andrea Schaerf:
Second International Nurse Rostering Competition (INRC-II) - Problem Description and Rules -. CoRR abs/1501.04177 (2015) - 2014
- [j8]Sara Ceschia
, Luca Di Gaspero
, Andrea Schaerf
:
The generalized balanced academic curriculum problem with heterogeneous classes. Ann. Oper. Res. 218(1): 147-163 (2014) - [i2]Ruggero Bellio, Sara Ceschia, Luca Di Gaspero, Andrea Schaerf, Tommaso Urli:
Feature-based tuning of simulated annealing applied to the curriculum-based course timetabling problem. CoRR abs/1409.7186 (2014) - 2013
- [j7]Sara Ceschia
:
Local search algorithms for integrated logistics. AI Commun. 26(3): 325-326 (2013) - [j6]Sara Ceschia
, Andrea Schaerf
, Thomas Stützle
:
Local search techniques for a routing-packing problem. Comput. Ind. Eng. 66(4): 1138-1149 (2013) - [j5]Sara Ceschia
, Andrea Schaerf
:
Local search for a multi-drop multi-container loading problem. J. Heuristics 19(2): 275-294 (2013) - 2012
- [b1]Sara Ceschia:
Local search algorithms for integrated logistic. University of Udine, Italy, 2012 - [j4]Sara Ceschia
, Andrea Schaerf
:
Modeling and solving the dynamic patient admission scheduling problem under uncertainty. Artif. Intell. Medicine 56(3): 199-205 (2012) - [j3]Sara Ceschia
, Luca Di Gaspero
, Andrea Schaerf
:
Design, engineering, and experimental analysis of a simulated annealing approach to the post-enrolment course timetabling problem. Comput. Oper. Res. 39(7): 1615-1624 (2012) - 2011
- [j2]Sara Ceschia
, Andrea Schaerf
:
Local search and lower bounds for the patient admission scheduling problem. Comput. Oper. Res. 38(10): 1452-1463 (2011) - [j1]Sara Ceschia
, Luca Di Gaspero
, Andrea Schaerf
:
Tabu search techniques for the heterogeneous vehicle routing problem with time windows and carrier-dependent costs. J. Sched. 14(6): 601-615 (2011) - [i1]Sara Ceschia, Luca Di Gaspero, Andrea Schaerf:
Design, Engineering, and Experimental Analysis of a Simulated Annealing Approach to the Post-Enrolment Course Timetabling Problem. CoRR abs/1104.2518 (2011)
2000 – 2009
- 2009
- [c1]Sara Ceschia
, Andrea Schaerf
:
Multi-neighborhood Local Search for the Patient Admission Problem. Hybrid Metaheuristics 2009: 156-170
Coauthor Index
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last updated on 2024-08-05 20:19 CEST by the dblp team
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