Latest Articles for Logistics

MAPF-GPT offers an innovative approach to solving multi-agent pathfinding challenges using machine learning.

Interoperability is crucial for collaboration and efficiency across various fields.

A new method enhances the accuracy of trajectory recovery for better urban mobility.

A novel method offers efficient solutions for optimizing item selection within budget constraints.

This paper discusses automated methods for transforming complex nonlinear optimization models into linear forms.

New algorithms enhance integer linear programming efficiency for optimization problems.

Introducing a dynamic method to improve bin packing efficiency using patterns.

Explore the fundamentals of graph theory and its real-world applications.

Exploring the significance and applications of hitting subgraphs in various fields.

Discover how bicyclic graphs improve efficiency in agricultural supply chains.

Innovative strategies for optimizing parcel locker delivery and customer satisfaction.

Causal machine learning provides insights for better decision-making in supply chain risks.

New methods simplify constrained optimization with tensor networks.

Quantum computing methods are enhancing solutions for complex combinatorial optimization problems.

This study evaluates how modular vehicles can reduce delivery costs in logistics.

Evaluating strategies for facility placement using predictions and randomized methods.

A smarter system reduces fuel use and emissions in refrigerated truck trailers.

This article discusses using machine learning to enhance network design solutions.

A look at how graphs help in real-world applications like logistics.

Explore temporal VCSPs and their significance in optimization problems.

New methods improve strategies for defending systems against attacks.

Analyzing line-based Dial-a-Ride and MinTurn problems for better transport efficiency.

How 5G is changing indoor positioning methods in industrial settings.

Photonic quantum computers may revolutionize solving complex optimization challenges.

This study addresses multi-period facility location challenges and provides effective solutions.

A new method boosts material handling efficiency using multi-agent reinforcement learning.

This study examines transportation costs involving random points and advanced mathematical techniques.

A look at robust optimization techniques in uncertain situations.

A new method enhances how robots plan and execute tasks effectively.

Addressing facility location challenges with known and unknown user preferences.

Exploring new methods to enhance last-mile delivery logistics using drones.

Improving delivery efficiency and safety through advanced route planning for electric vehicles.

BOMP enhances robots' ability to pick items swiftly and accurately from bins.

Discover how MADQN improves efficiency in scheduling autonomous vehicles in factories.

A look into the challenges and strategies of the Traveling Salesman Problem.

Learn how concave tents can simplify nonlinear optimization challenges.

Exploring stable configurations for quadrotors carrying payloads effectively.

Learn how to group data effectively while considering important limits.

Examining how time impacts network formation and connections among various entities.

Learn how RKO optimizes solutions in various complex problems.