AI Can Solve Many Complex Problems, So Why Isn’t Science Moving Faster?

One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...
The Register on MSN

Dijkstra’s algorithm won’t be replaced in production routers any time soon

Researchers have found a new approach to finding shortest paths, but it's complex Systems Approach Last year a couple of ...
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 ...
www.cs.cmu.edu

Covering Approximate Shortest Paths with DAGs

Abstract: We define and study analogs of probabilistic tree embeddings and tree covers for directed graphs. We define the notion of a DAG cover of a general directed ...
IEEE

Multi-Objective Optimization for Multimodal Multi-Objective Multi-Point Shortest Path Problem Considering Unforeseeable Road Eventualities

Abstract: Multi-objective multi-point shortest path planning problems are commonly encountered in real-world applications. Numerous path planning algorithms have been proposed to accommodate different ...
Frontiers

Reinforcement learning based estimation of shortest paths in dynamically changing transportation networks

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 ...
IEEE

Research on Traffic Dynamic Shortest Path Allocation Model Based on Triangular Fuzzy Number Weight and K-Means Algorithm

Abstract: Aiming at the traffic dynamic shortest path allocation problem with triangular fuzzy numbers as attribute values, a traffic dynamic shortest path allocation model method based on triangular ...