An Enhanced Large Neighborhood Search Approach for the Capacitated Facility Location Problem with Incompatible Customers

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Gjergji, Ida, Kletzander, Lucas, Musliu, Nysret, Schaerf, Andrea
Format:	Preprint
Veröffentlicht:	2026
Schlagworte:	Artificial Intelligence
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Integrating Column Generation and Large Neighborhood Search for Bus Driver Scheduling with Complex Break Constraints
von: Kletzander, Lucas, et al.
Veröffentlicht: (2025)

Key Principles in Cross-Domain Hyper-Heuristic Performance
von: Sobotka, Václav, et al.
Veröffentlicht: (2025)

Intermediate Languages Matter: Formal Languages and LLMs affect Neurosymbolic Reasoning
von: Beiser, Alexander, et al.
Veröffentlicht: (2025)

Investigating Constraint Programming and Hybrid Methods for Real World Industrial Test Laboratory Scheduling
von: Geibinger, Tobias, et al.
Veröffentlicht: (2019)

Intermediate Languages Matter: Formal Choice Drives Neurosymbolic LLM Reasoning
von: Beiser, Alexander, et al.
Veröffentlicht: (2025)

Theoretical Lower Bounds for the Oven Scheduling Problem
von: Da Ros, Francesca, et al.
Veröffentlicht: (2024)

Hybrid Node-Destroyer Model with Large Neighborhood Search for Solving the Capacitated Vehicle Routing Problem
von: Herdianto, Bachtiar, et al.
Veröffentlicht: (2025)

ASP-FZN: A Translation-based Constraint Answer Set Solver
von: Eiter, Thomas, et al.
Veröffentlicht: (2025)

Answer-Set Programming for Lexicographical Makespan Optimisation in Parallel Machine Scheduling
von: Eiter, Thomas, et al.
Veröffentlicht: (2022)

An End-to-End Learning Approach for Solving Capacitated Location-Routing Problems
von: Miao, Changhao, et al.
Veröffentlicht: (2025)

Data Appendix for Integrating Column Generation and Large Neighborhood Search for Bus Driver Scheduling with Complex Break Constraints
von: Mannelli Mazzoli, Tommaso, et al.
Veröffentlicht: (2025)

Reflections on Disentanglement and the Latent Space
von: Schaerf, Ludovica
Veröffentlicht: (2024)

A Multi-population Integrated Approach for Capacitated Location Routing
von: He, Pengfei, et al.
Veröffentlicht: (2024)

Solving Parallel Machine Scheduling With Precedences and Cumulative Resource Constraints With Calendars
von: Einspieler, Christoph, et al.
Veröffentlicht: (2025)

Variable Neighborhood Search for the Electric Vehicle Routing Problem
von: Woller, David, et al.
Veröffentlicht: (2025)

Edge-Selector Model Applied for Local Search Neighborhood for Solving Vehicle Routing Problems
von: Herdianto, Bachtiar, et al.
Veröffentlicht: (2025)

Solving the Pod Repositioning Problem with Deep Reinforced Adaptive Large Neighborhood Search
von: Xie, Lin, et al.
Veröffentlicht: (2025)

Stable formulations for the Capacitated Facility Location Problem with Customer Preferences
von: Domínguez, Concepción, et al.
Veröffentlicht: (2025)

DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation
von: Fu, Kairui, et al.
Veröffentlicht: (2024)

Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
von: Huang, Taoan, et al.
Veröffentlicht: (2023)

Large Neighborhood Prioritized Search for Combinatorial Optimization with Answer Set Programming
von: Sugimori, Irumi, et al.
Veröffentlicht: (2024)

Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problem
von: Cai, Junyang, et al.
Veröffentlicht: (2024)

Feature-Guided Metaheuristic with Diversity Management for Solving the Capacitated Vehicle Routing Problem
von: Herdianto, Bachtiar, et al.
Veröffentlicht: (2024)

G-LNS: Generative Large Neighborhood Search for LLM-Based Automatic Heuristic Design
von: Zhao, Baoyun, et al.
Veröffentlicht: (2026)

Test-Time Search in Neural Graph Coarsening Procedures for the Capacitated Vehicle Routing Problem
von: Sim, Yoonju, et al.
Veröffentlicht: (2025)

Competitive Facility Location under Random Utilities and Routing Constraints
von: Pham, Hoang Giang, et al.
Veröffentlicht: (2024)

Where Paths Split: Localized, Calibrated Control of Moral Reasoning in Large Language Models
von: Yuan, Chenchen, et al.
Veröffentlicht: (2026)

GAMA: A Neural Neighborhood Search Method with Graph-aware Multi-modal Attention for Vehicle Routing Problem
von: Chen, Xiangling, et al.
Veröffentlicht: (2025)

Two-Stage Facility Location Games with Strategic Clients and Facilities
von: Krogmann, Simon, et al.
Veröffentlicht: (2021)

Evading Community Detection via Counterfactual Neighborhood Search
von: Bernini, Andrea, et al.
Veröffentlicht: (2023)

Deep Learning--Accelerated Multi-Start Large Neighborhood Search for Real-time Freight Bundling
von: Zhang, Haohui, et al.
Veröffentlicht: (2025)

Fast Neighborhood Search Heuristics for the Colored Bin Packing Problem
von: da Silva, Renan F. F., et al.
Veröffentlicht: (2023)

Enhancing Kernel Search with Pattern Recognition: the Single-Source Capacitated Facility Location Problem
von: Bakker, Hannah, et al.
Veröffentlicht: (2025)

Online Control of Adaptive Large Neighborhood Search using Deep Reinforcement Learning
von: Reijnen, Robbert, et al.
Veröffentlicht: (2022)

Equitable Mechanism Design for Facility Location
von: Walsh, Toby
Veröffentlicht: (2025)

Emergent Abilities in Large Language Models: A Survey
von: Berti, Leonardo, et al.
Veröffentlicht: (2025)

Optimal Interactive Learning on the Job via Facility Location Planning
von: Vats, Shivam, et al.
Veröffentlicht: (2025)

Enriching Tabular Data with Contextual LLM Embeddings: A Comprehensive Ablation Study for Ensemble Classifiers
von: Kasneci, Gjergji, et al.
Veröffentlicht: (2024)

Is Crowdsourcing Breaking Your Bank? Cost-Effective Fine-Tuning of Pre-trained Language Models with Proximal Policy Optimization
von: Yang, Shuo, et al.
Veröffentlicht: (2024)

Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents
von: Kirchhof, Michael, et al.
Veröffentlicht: (2025)