Latest Articles for Logistics

Hierarchical Destroy-and-Repair approach shows promise in optimizing large TSP instances.

This article discusses properties of directed graphs and their dicoloring methods.

Techniques for optimizing routes in the Traveling Salesman Problem enhance efficiency and reduce computation time.

A look into minimizing transportation costs using graph theory.

Exploring the complexities and advancements in container stowage planning.

A new approach improves multi-robot task efficiency and safety.

A look at the Minimum Weight Cycle problem and its significance in computing.

Businesses face pressure to deliver quickly while meeting customer expectations and managing costs.

Explore bounds on integer solutions in linear equations.

A new approach enhances pathfinding for agents in shared spaces, reducing congestion.

New methods improve solutions for complex routing problems in logistics and planning.

Learn how RL can improve heavy goods vehicle routing and loading efficiency.

Efficiently planning vehicle routes for multiple depots to meet customer demands.

A new method enhances efficiency in generating permutations for optimization problems.

A look at the Bin Packing Problem and its impact on logistics efficiency.

Logistics service providers can improve operations through effective collaboration.

A new algorithm enhances decision-making in uncertain environments through effective sampling.

An overview of Route Time Prediction methods and their significance in delivery services.

Efficient planning for UAV-UGV cooperation in fuel-limited operations.

A look into the characteristics and significance of convex shapes in mathematics.

Key methods for optimizing material cutting in manufacturing and logistics.

New quantum approach enhances routing efficiency in logistics.

A look at optimal transport, curvature, and real-world applications.

This method enhances mobile robots' path planning in changing environments.

Learn how to move resources efficiently through networks.

Introducing CRAMP, a method improving agent navigation in crowded environments.

Explore boxicity, circular clique graphs, and zero-divisor graphs in graph theory.

Learn how to solve related MIP problems more quickly using past solutions.

Improving HGV utilization through collaboration can cut carbon emissions significantly.

Methods to balance task distribution among resources for optimal performance.

A new technique improves how mobile robots push heavy objects efficiently.

Approaches for fair resource distribution in network flows.

A look into optimizing functions with constraints for practical decision-making.

A new approach enhances vehicle routing solutions for larger problems using neural networks.

PyVRP offers efficient solutions for complex vehicle routing challenges.

A novel algorithm improves pathfinding efficiency in networks with failures.

A look into online decision-making and its practical applications.

Utilizing deep reinforcement learning to enhance truck delivery efficiency.

A look at robust shortest path problems in uncertain network conditions.

A look at the complexities and methods in nonconvex optimization.