Urban traffic congestion incurs high economic and environmental costs, including fuel wastage, increased greenhouse gas emissions, and driver frustration. Current genetic algorithm-based traffic ...

Efficient route planning is a fundamental challenge in transportation, logistics, navigation systems, and delivery applications. Whether it's finding the shortest path between two locations or ...

AI search has outgrown simple RAG. Learn how today’s hidden AI retrieval systems decide whether your content gets surfaced or filtered out. Two and a half years ago, I wrote an article for Search ...

Attention based model for learning to solve the Heterogeneous Capacitated Vehicle Routing Problem (HCVRP) with both min-max and min-sum objective. Training with REINFORCE with greedy rollout baseline.

This is a modern implementation of the Hybrid Genetic Search (HGS) with Advanced Diversity Control of [1], specialized to the Capacitated Vehicle Routing Problem (CVRP). This algorithm has been ...

Abstract: Transportation cost is the critical element of the total logistics costs of an organization. One way to reduce the cost that occurs from this operation is to optimize the delivery route.

See the key announcements from the event below and watch re:Invent 2025 keynotes. Amazon is expanding its Nova portfolio with four new models that deliver industry-leading price-performance across ...

Its quantum solutions are used in allocation, resource scheduling, factory scheduling, vehicle routing, logistics optimization, drug discovery, industrial construction design, portfolio optimization ...

I’ve always believed that the most rewarding engineering projects sit at the intersection of multiple hard domains. After years of working with distributed systems, infrastructure, and observability, ...