Abstract: In modern automotive zonal electrical/electronic architectures, Time-Sensitive Networking (TSN) serves as the communication backbone, while Controller Area Network (CAN) operates as regional ...

Abstract: In this paper, a greedy initialization-based genetic algorithm is proposed for unit-norm tight frame sampling design in spherical near-field measurements. Since the optimization criterion ...

Abstract: Controlling large complex networks is a common and important problem. In the field of network control, controlling target nodes is more efficient and feasible than controlling all nodes to ...

X is revamping the algorithm that ranks posts in the "For You" feed. The engineering team said it will post changes to the algorithm on GitHub every four weeks, including explainers on changes. The ...

Abstract: Production processes are inherently complex, often involving multiple production phases from raw materials to finished products, making joint scheduling problems a focal point of research.

Abstract: The purpose of this paper is to explore how to construct a multi-criteria decision-making model using greedy algorithm and genetic algorithm to optimize the decision-making problem in the ...

While the creation of this new entity marks a big step toward avoiding a U.S. ban, as well as easing trade and tech-related tensions between Washington and Beijing, there is still uncertainty ...

Abstract: In this paper a numerical algorithm to optimize actuator locations in a linear impulsive control system is developed so that the terminal output could be varied efficiently under various ...

Abstract: Deterministic processing time are no longer applicable under realistic circumstances because of the uncertainties involved in manufacturing and production processes. The present study aims ...