Reinforcement learning and organizational management

Artificial reinforcement learning is just one lens to evaluate organizations. However, this thought experiment taught me that ...
IEEE

Efficient Shortest Path-Driven Tabu Search Reconfiguration Algorithm for Multiprocessor Array

Abstract: Fault-tolerant reconfiguration is essential for improving the reliability and efficiency of multiprocessor arrays. However, existing reconfiguration approaches primarily focus on algorithmic ...
GitHub

BMSSP: A C++ Shortest Path Algorithm

A header-only C++ implementation of the single-source shortest path (SSSP) algorithm for sparse directed graphs with non-negative weights, based on the 2025 paper by Duan et al. This algorithm is ...
Frontiers

Multi-stage bidirectional informed-RRT * plant protection UAV path planning method based on A * algorithm domain guidance

Traditional path planning algorithms often face problems such as local optimum traps and low monitoring efficiency in agricultural UAV operations, making it difficult to meet the operational ...
Quanta Magazine

New Method Is the Fastest Way To Find the Best Routes

If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.
IEEE

Sunlight Algorithm: A Novel Shortest Path Planning Technique for Unmanned Surface Vehicles With Enhanced Search Efficiency

Abstract: This paper investigates the shortest path planning of unmanned surface vehicles (USV) in complicated marine environments. A novel path planning method called “sunlight algorithm” is first ...
Scientific Research Publishing

Hu, X. and Chiu, Y. (2015) A Constrained Time-Dependent K Shortest Paths Algorithm Addressing Overlap and Travel Time Deviation. International Journal of Transportation Science ...

ABSTRACT: In any military operation, reliable logistics is essential to maintaining a combat-effective force. Without the continual resupply of ammunition, food, and other materiel, forces cannot ...
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 ...