Image de couverture de livre

A decomposition-based approach for large-scale pickup and delivery problems

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Hiermann, G., Schiffer, M.
Format:	Preprint
Publié:	2024
Sujets:	Optimization and Control Systems and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Solving Large-Scale Two-Echelon Location Routing Problems in City Logistics
par: Dereli, Banu Ulusoy, et autres
Publié: (2025)

The pickup and delivery problem with time windows and scheduling on the edges
par: Barbosa, Vítor A., et autres
Publié: (2025)

Staggered Routing in Autonomous Mobility-on-Demand Systems
par: Coppola, Antonio, et autres
Publié: (2024)

Integrated Balanced and Staggered Routing in Autonomous Mobility-on-Demand Systems
par: Coppola, Antonio, et autres
Publié: (2025)

Towards large-scale probabilistic set covering problems: an efficient Benders decomposition approach
par: Lv, Wei, et autres
Publié: (2024)

Exact Time-Varying Turnpikes for Dynamic Operation of District Heating Networks
par: Rose, Max, et autres
Publié: (2025)

Constraint-adaptive MPC for large-scale systems: Satisfying state constraints without imposing them
par: Nouwens, S. A. N., et autres
Publié: (2024)

Benders decomposition for the large-scale probabilistic set covering problem
par: Liang, Jie, et autres
Publié: (2025)

Solvability of the Inverse Optimal Control problem based on the minimum principle
par: Islam, Afreen, et autres
Publié: (2024)

Clustering-enhanced adaptive Benders decomposition for energy systems planning optimization
par: Law, Jun Wen, et autres
Publié: (2026)

Sectoral and spatial decomposition methods for multi-sector capacity expansion models
par: Parolin, Federico, et autres
Publié: (2025)

Data-driven MPC with stability guarantees using extended dynamic mode decomposition
par: Bold, Lea, et autres
Publié: (2023)

A state reduction approach for learning-based model predictive control for train rescheduling
par: da Silva, Caio Fabio Oliveira, et autres
Publié: (2025)

Adaptive Benders decomposition and enhanced SDDP for multistage stochastic programs with block-separable multistage recourse
par: Mazzi, Nicolò, et autres
Publié: (2025)

A feedback control approach to convex optimization with inequality constraints
par: Cerone, V., et autres
Publié: (2024)

Lyapunov based dynamic controller designs for reach-and-avoid problems
par: Lanza, Lukas, et autres
Publié: (2024)

Closed-loop training of static output feedback neural network controllers for large systems: A distillation case study
par: Turan, E. M., et autres
Publié: (2024)

A novel switched systems approach to nonconvex optimisation
par: Ferguson, Joel, et autres
Publié: (2024)

Numerical optimal control for distributed delay differential equations: A simultaneous approach based on linearization of the delayed variables
par: Ritschel, Tobias K. S.
Publié: (2024)

The large-scale charging scheduling problem for fleet batteries: Lagrangian decomposition with time-block reformulations
par: Fotedar, Sunney, et autres
Publié: (2025)

MINLP-based hybrid strategy for operating mode selection of TES-backed-up refrigeration systems
par: Bejarano, G., et autres
Publié: (2024)

A Port-Hamiltonian Modeling Approach for Integrated Hydrogen Systems
par: Shahin, Abdullah, et autres
Publié: (2025)

Optimal Investment Portfolio of Thyristor- and IGBT-based Electrolysis Rectifiers in Utility-scale Renewable P2H Systems
par: Zeng, Yangjun, et autres
Publié: (2025)

A constrained optimization approach to nonlinear system identification through simulation error minimization
par: Cerone, Vito, et autres
Publié: (2025)

A behavioral approach for LPV data-driven representations
par: Verhoek, Chris, et autres
Publié: (2024)

A differential game approach to intrinsic encirclement control
par: Zhou, Panpan, et autres
Publié: (2025)

The networked input-output economic problem
par: Trinh, Minh Hoang, et autres
Publié: (2024)

A condensing approach for linear-quadratic optimization with geometric constraints
par: De Marchi, Alberto
Publié: (2025)

Minimax problems for ensembles of control-affine systems
par: Scagliotti, Alessandro
Publié: (2024)

Super-twisting over networks: A Lyapunov approach for distributed differentiation
par: Aldana-López, Rodrigo, et autres
Publié: (2026)

A method for optimizing the structure of the software and hardware complex of a distributed process control system for large industrial enterprises
par: Zakirzyanov, Ruslan
Publié: (2026)

Large problems are not necessarily hard: A case study on distributed NMPC paying off
par: Stomberg, Gösta, et autres
Publié: (2024)

Analytic solutions to two quaternion attitude estimation problems
par: Mitikiri, Yujendra, et autres
Publié: (2019)

Data-driven control of continuous-time systems: A synthesis-operator approach
par: Wakaiki, Masashi
Publié: (2025)

Non-convex optimization problems for maximum hands-off control
par: Ikeda, Takuya
Publié: (2024)

Necessary conditions for turnpike property for generalized linear-quadratic problems
par: Guglielmi, Roberto, et autres
Publié: (2024)

SLS-BRD: A system-level approach to seeking generalised feedback Nash equilibria
par: Neto, Otacilio B. L., et autres
Publié: (2024)

A hybrid dynamical system approach to the impulsive control of spacecraft rendezvous (extended version)
par: Seuret, Alexandre, et autres
Publié: (2024)

A multiobjective approach to robust predictive control barrier functions for discrete-time systems
par: Didier, Alexandre, et autres
Publié: (2025)

Fix and Bound: An efficient approach for solving large-scale quadratic programming problems with box constraints
par: Locatelli, Marco, et autres
Publié: (2022)