Abstract: The aim of this study is to explore production decision optimisation methods based on greedy algorithms and shortest path models, with a special focus on the impact of defective rates on ...

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 ...

Three bombs go off on an average night in the Netherlands, blowing out windows and sometimes causing injury or death. “It is not normal,” a security guard says. An apartment building damaged by an ...

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.

Official support for free-threaded Python, and free-threaded improvements Python’s free-threaded build promises true parallelism for threads in Python programs by removing the Global Interpreter Lock ...

At First Citizens Equipment Finance, leadership is driven by a deep passion for fostering innovation, collaboration and value-based decision-making. The company’s leaders not only manage operations ...

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: In recent years, smart public transportation has become one of the most important things for developing cities and improving people’s quality of life. Public transportation users face many ...

Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...