Copertina

Instance space analysis of the capacitated vehicle routing problem

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Gouvêa, Alessandra M. M. M., Paulos, Nuno, Uchoa, Eduardo, Nascimento, Mariá C. V.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Green vehicle routing problem that jointly optimizes delivery speed and routing based on the characteristics of electric vehicles
di: Feng, YY.
Pubblicazione: (2024)

Exact algorithms and heuristics for capacitated covering salesman problems
di: Maziero, Lucas Porto, et al.
Pubblicazione: (2024)

A systematic review of machine learning-enhanced metaheuristics for solving capacitated vehicle routing problems
di: Mauricio Maca-Chagüendo
Pubblicazione: (2024)

PICO: Secure Transformers via Robust Prompt Isolation and Cybersecurity Oversight
di: Goertzel, Ben, et al.
Pubblicazione: (2025)

Spatial-temporal-demand clustering for solving large-scale vehicle routing problems with time windows
di: Kerscher, Christoph, et al.
Pubblicazione: (2024)

On the Definition of Robustness and Resilience of AI Agents for Real-time Congestion Management
di: Tjhay, Timothy, et al.
Pubblicazione: (2025)

From approximation error to optimality gap -- Explaining the performance impact of opportunity cost approximation in integrated demand management and vehicle routing
di: Fleckenstein, David, et al.
Pubblicazione: (2024)

An effective and efficient matheuristic for the electric vehicle routing problem with capacitated recharging stations
di: Maurizio Bruglieri, et al.
Pubblicazione: (2025)

Selecting fast algorithms for the capacitated vehicle routing problem with machine learning techniques
di: Roberto Asín‐Achá, et al.
Pubblicazione: (2024)

The capacitated vehicle routing problem with soft time windows and stochastic travel times
di: Jorge Oyola
Pubblicazione: (2019)

A Meta-Level Learning Algorithm for Sequential Hyper-Parameter Space Reduction in AutoML
di: Borboudakis, Giorgos, et al.
Pubblicazione: (2023)

Towards a connection between the capacitated vehicle routing problem and the constrained centroid-based clustering
di: Abdellaoui, Abdelhakim, et al.
Pubblicazione: (2024)

How vehicles change lanes after encountering crashes: Empirical analysis and modeling
di: Chen, Kequan, et al.
Pubblicazione: (2026)

A novel framework for adaptive stress testing of autonomous vehicles in multi-lane roads
di: Trinh, Linh, et al.
Pubblicazione: (2024)

A matheuristic algorithm for the three- dimensional loading capacitated vehicle routing problem (3L-CVRP)
di: Luis Miguel Escobar-Falcón
Pubblicazione: (2016)

Can an LLM Detect Instances of Microservice Infrastructure Patterns?
di: Duarte, Carlos Eduardo, et al.
Pubblicazione: (2026)

VibroML: an automated toolkit for high-throughput vibrational analysis and dynamic instability remediation of crystalline materials using machine-learned potentials
di: Gouvêa, Rogério Almeida, et al.
Pubblicazione: (2026)

Modeling and solving an integrated periodic vehicle routing and capacitated facility location problem in the context of solid waste collection
di: González, Begoña, et al.
Pubblicazione: (2025)

A hybrid approach based on genetic algorithm and nearest neighbor heuristic for solving the capacitated vehicle routing problem
di: Stanley Jefferson de Araujo Lima
Pubblicazione: (2018)

Non-flat ABA is an Instance of Bipolar Argumentation
di: Ulbricht, Markus, et al.
Pubblicazione: (2023)

Meta-Instance Selection. Instance Selection as a Classification Problem with Meta-Features
di: Blachnik, Marcin, et al.
Pubblicazione: (2025)

Interpretable Machine Learning for Oral Lesion Diagnosis through Prototypical Instances Identification
di: Cascione, Alessio, et al.
Pubblicazione: (2025)

Visual and Cognitive Demands of a Large Language Model-Powered In-vehicle Conversational Agent
di: Monk, Chris, et al.
Pubblicazione: (2026)

SITA: A Framework for Structure-to-Instance Theorem Autoformalization
di: Li, Chenyi, et al.
Pubblicazione: (2025)

IID Relaxation by Logical Expressivity: A Research Agenda for Fitting Logics to Neurosymbolic Requirements
di: Stol, Maarten C., et al.
Pubblicazione: (2024)

Knowledge-data fusion dominated vehicle platoon dynamics modeling and analysis: A physics-encoded deep learning approach
di: Lyu, Hao, et al.
Pubblicazione: (2025)

Instance Discrimination for Link Prediction
di: Cuzin-Rambaud, Valentin, et al.
Pubblicazione: (2026)

A new wave of vehicle insurance fraud fueled by generative AI
di: Hever, Amir, et al.
Pubblicazione: (2025)

Understanding LLM Performance Degradation in Multi-Instance Processing: The Roles of Instance Count and Context Length
di: Chen, Jingxuan, et al.
Pubblicazione: (2026)

Adding Chocolate to Mint: Mitigating Metric Interference in Machine Translation
di: Pombal, José, et al.
Pubblicazione: (2025)

Zero-shot Benchmarking: A Framework for Flexible and Scalable Automatic Evaluation of Language Models
di: Pombal, José, et al.
Pubblicazione: (2025)

Batch-of-Thought: Cross-Instance Learning for Enhanced LLM Reasoning
di: Yang, Xuan, et al.
Pubblicazione: (2026)

Efficient Parallel Algorithm for Decomposing Hard CircuitSAT Instances
di: Kondratiev, Victor, et al.
Pubblicazione: (2026)

Continual Hyperbolic Learning of Instances and Classes
di: Ayoughi, Melika, et al.
Pubblicazione: (2025)

Cross-cultural analysis of pedestrian group behaviour influence on crossing decisions in interactions with autonomous vehicles
di: Serrano, Sergio Martín, et al.
Pubblicazione: (2024)

S$^2$-Diffusion: Generalizing from Instance-level to Category-level Skills in Robot Manipulation
di: Yang, Quantao, et al.
Pubblicazione: (2025)

Automated Microservice Pattern Instance Detection Using Infrastructure-as-Code Artifacts and Large Language Models
di: Duarte, Carlos Eduardo
Pubblicazione: (2025)

Data selection method for assessment of autonomous vehicles
di: Trinh, Linh, et al.
Pubblicazione: (2024)

Code Retrieval for MILP Instance Generation
di: Yang, Tianxing, et al.
Pubblicazione: (2025)

Finding Regions of Interest in Whole Slide Images Using Multiple Instance Learning
di: Afonso, Martim, et al.
Pubblicazione: (2024)