ACRouter picks the smartest AI model per task, beating Opus-only setups by 2.6x on cost

ACRouter, a new open-source AI router, learns from execution feedback to pick the best coding model per task, cutting costs 2 ...
Tech Xplore

Researchers discover a smarter way to solve vehicle routing problems using adaptive swarm learning

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

A logistics company uses AI to reduce its delivery routes by half and save time on package sorting

Net Zero Logistics uses AI tool Finmile to enhance delivery efficiency, cutting costs and optimizing routes with real-time data tracking.
earth

New algorithm finds the shortest path to any point in record time

Shortest path algorithms sit at the heart of modern graph theory and many of the systems that move people, data, and goods around the world. After nearly seventy years of relying on the same classic ...
Frontiers

Adiabatic quantum computing impact on transport optimization in the last-mile scenario

In the ever-evolving landscape of global trade and supply chain management, logistics optimization stands as a critical challenge. This study takes on the Vehicle Routing Problem (VRP), a variant of ...
Scientific Research Publishing

Rezaei, N., et al. (2019) A Green Vehicle Routing Problem with Time Windows Considering the Heterogeneous Fleet of Vehicles: Two Metaheuristic Algorithms. European Journal of ...

ABSTRACT: The main objective of this paper is to propose a new hybrid algorithm for solving the Bi objective green vehicle routing problem (BGVRP) from the BicriterionAnt metaheuristic. The ...
IEEE

Adaptive Routing in Wireless Mesh Networks Using Hybrid Reinforcement Learning Algorithm

Abstract: Wireless mesh networks are popular due to their adaptability, easy-setup, flexibility, cost, and transmission time-reductions. The routing algorithm plays a vital role in transferring the ...