GitHub

Electric Vehicle Routing with Time Windows and Charging Stations from the Perspective of Customer Satisfaction

The use of electric vehicles in urban transportation is increasing daily due to their energy efficiency and environmental friendliness. In last-mile logistics, route optimization must consider ...
Frontiers

Adaptive vehicle routing for humanitarian aid in conflict-affected regions: a practitioner-informed deep reinforcement learning approach

1 Department of Quantitative Methods, College of Business, King Faisal University, Al-Ahsa, Saudi Arabia 2 Department of Quantitative Methods, University of Sousse, Sousse, Tunisia Humanitarian aid ...
Scientific Research Publishing

Crevier B, Cordeau J, Laporte G. The multi-depot vehicle routing problem with inter-depot routes. European Journal of Operational Research 2007; 176(2):756–773.

ABSTRACT: In this work, we present a multi-phase hybrid algorithm based on clustering to solve the multi-depots vehicle routing problem (MDVRP). The proposed algorithm initially adopts K-means ...
IEEE

Multiobjective Vehicle Routing Optimization With Time Windows: A Hybrid Approach Using Deep Reinforcement Learning and NSGA-II

This paper proposes a weight-aware deep reinforcement learning (WADRL) approach designed to address the multiobjective vehicle routing problem with time windows (MOVRPTW), aiming to use a single deep ...
GitHub

Electric Vehicle Routing with Time Windows and Charging Stations from the Perspective of Customer Satisfaction

We are pleased to announce the publication of our latest research article: In this study, we address the electric vehicle routing problem by integrating time window constraints and charging station ...
Frontiers

Hybrid genetic algorithm and Q-learning-based solution for the time-variant berth and quay crane allocation problem

Institute of Logistics Science and Engineering of Shanghai Maritime University, Pudong, China Introduction: This study addresses the joint scheduling optimization of continuous berths and quay cranes ...
IEEE

Analysis and Synthesis of Vehicle Routing Problems Using Heuristic and Exact Algorithms for Transportation Combinatorial Optimization

Abstract: Vehicle routing is a famous discrete optimization problem. It is not guaranteed to obtain optimal solutions across numerous complex cases. Both heuristics and exact algorithms can be used ...