The travelling salesman problem (TSP) remains one of the most challenging NP‐hard problems in combinatorial optimisation, with significant implications for logistics, network design and route planning ...

A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...

Abstract: With the increasing demand for high-precision navigation applications, the traditional real-time kinematic (RTK) algorithm faces the problems of low ...

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.

Abstract: With the development of computation methods and the requirement of data processing, it is often required to execute electromagnetic (EM) simulations in a lot of different complex formation ...