Due to the complexity and dynamism of real-world needs, traditional vehicle routing solutions usually do not sufficiently consider implicit user preferences, leading to low acceptance and reduced ...

Unleash Protocol disclosed a security breach that resulted in the loss of roughly 1,337 ETH, valued at close to $4 million, ...

Smart Waste Routing AI Market size is expected to be worth around USD 32 bn by 2034, from USD 3.6 bn in 2024, growing at a ...

first learning of human drivers, which then 'mutate` to CAVs, are trained to optimize routing policies with the implemented algorithm. When the training is finished, it uses raw results to compute a ...

Deploying LLMs presents challenges, particularly in optimizing efficiency, managing computational costs, and ensuring high-quality performance. LLM routing has emerged as a strategic solution to these ...

Finding the shortest path in a network is a classical problem, and a variety of search strategies have been proposed to solve it. In this paper, we review traditional approaches for finding shortest ...

ABSTRACT: This study presents a two-echelon inventory routing problem (2E-IRP) with an end-of-tour replenishment (ETR) policy whose distribution network consists of a supplier, several distribution ...

TravelPathOptimizer for trucking logistics is a software tool that boosts efficiency by determining optimal routes through algorithms. It accounts for traffic, weather, load, and timing, dynamically ...

Three new books warn against turning into the person the algorithm thinks you are. Like a lot of Netflix subscribers, I find that my personal feed tends to be hit or miss. Usually more miss. The ...