Cover Image

Promoting Two-sided Fairness in Dynamic Vehicle Routing Problem

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kang, Yufan, Zhang, Rongsheng, Shao, Wei, Salim, Flora D., Chan, Jeffrey
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Long-term Fairness in Ride-Hailing Platform
by: Kang, Yufan, et al.
Published: (2024)

Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model Multiplicity
by: Sokol, Kacper, et al.
Published: (2022)

STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning
by: Shao, Wei, et al.
Published: (2024)

ASTER: Adaptive Spatio-Temporal Early Decision Model for Dynamic Resource Allocation
by: Chen, Shulun, et al.
Published: (2025)

Dynamic Vehicle Routing Problem with Prompt Confirmation of Advance Requests
by: Sivagnanam, Amutheezan, et al.
Published: (2026)

Cross-Problem Learning for Solving Vehicle Routing Problems
by: Lin, Zhuoyi, et al.
Published: (2024)

STAR: Failure-Aware Markovian Routing for Multi-Agent Spatiotemporal Reasoning
by: Yang, Ruiyi, et al.
Published: (2026)

SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding
by: Yang, Ruiyi, et al.
Published: (2024)

Neural Networks for Vehicle Routing Problem
by: Kovács, László, et al.
Published: (2024)

RouteFinder: Towards Foundation Models for Vehicle Routing Problems
by: Berto, Federico, et al.
Published: (2024)

Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems
by: Zhang, Ni, et al.
Published: (2025)

An Agentic Framework with LLMs for Solving Complex Vehicle Routing Problems
by: Zhang, Ni, et al.
Published: (2025)

CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems
by: Hua, Chuanbo, et al.
Published: (2025)

A Neural Column Generation Approach to the Vehicle Routing Problem with Two-Dimensional Loading and Last-In-First-Out Constraints
by: Xia, Yifan, et al.
Published: (2024)

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

Learning to Segment for Vehicle Routing Problems
by: Ouyang, Wenbin, et al.
Published: (2025)

Optimizing Electric Vehicle Charging Station Locations: A Data-driven System with Multi-source Fusion
by: Li, Lihuan, et al.
Published: (2025)

Learning to Handle Complex Constraints for Vehicle Routing Problems
by: Bi, Jieyi, et al.
Published: (2024)

RouteExplainer: An Explanation Framework for Vehicle Routing Problem
by: Kikuta, Daisuke, et al.
Published: (2024)

Neural Deconstruction Search for Vehicle Routing Problems
by: Hottung, André, et al.
Published: (2025)

Adversarial Generative Flow Network for Solving Vehicle Routing Problems
by: Zhang, Ni, et al.
Published: (2025)

TradingGroup: A Multi-Agent Trading System with Self-Reflection and Data-Synthesis
by: Tian, Feng, et al.
Published: (2025)

EMAC+: Embodied Multimodal Agent for Collaborative Planning with VLM+LLM
by: Ao, Shuang, et al.
Published: (2025)

CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework
by: Cruz, Francis Zac dela, et al.
Published: (2024)

Perturbation Effects on Accuracy and Fairness among Similar Individuals
by: Li, Xuran, et al.
Published: (2024)

Demand Acceptance using Reinforcement Learning for Dynamic Vehicle Routing Problem with Emission Quota
by: Najar, Farid, et al.
Published: (2026)

Reinforcement Learning for Solving Stochastic Vehicle Routing Problem with Time Windows
by: Iklassov, Zangir, et al.
Published: (2024)

VRPAgent: LLM-Driven Discovery of Heuristic Operators for Vehicle Routing Problems
by: Hottung, André, et al.
Published: (2025)

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts
by: Miao, Changhao, et al.
Published: (2026)

FairDRL-ST: Disentangled Representation Learning for Fair Spatio-Temporal Mobility Prediction
by: Zhao, Sichen, et al.
Published: (2025)

POMO+: Leveraging starting nodes in POMO for solving Capacitated Vehicle Routing Problem
by: Jakubicz, Szymon, et al.
Published: (2025)

Rethinking Light Decoder-based Solvers for Vehicle Routing Problems
by: Huang, Ziwei, et al.
Published: (2025)

Quantum Reinforcement Learning with Transformers for the Capacitated Vehicle Routing Problem
by: Andrés, Eva
Published: (2026)

Enhancing Cross-Problem Vehicle Routing via Federated Learning
by: Meng, Xiangchi, et al.
Published: (2026)

Comprehensive Autonomous Vehicle Optimal Routing With Dynamic Heuristics
by: V, Ragav, et al.
Published: (2024)

MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings
by: Khaokaew, Yonchanok, et al.
Published: (2023)

GASE: Graph Attention Sampling with Edges Fusion for Solving Vehicle Routing Problems
by: Wang, Zhenwei, et al.
Published: (2024)

Deep Reinforcement Learning for Multi-Truck Vehicle Routing Problems with Multi-Leg Demand Routes
by: Levin, Joshua, et al.
Published: (2024)

TSS GAZ PTP: Towards Improving Gumbel AlphaZero with Two-stage Self-play for Multi-constrained Electric Vehicle Routing Problems
by: Wang, Hui, et al.
Published: (2025)

Improving Generalization of Neural Vehicle Routing Problem Solvers Through the Lens of Model Architecture
by: Xiao, Yubin, et al.
Published: (2024)