A parallel deep reinforcement learning framework for wind-solar-hydrogen systems cuts operational costs by 6% and accelerates ...

Copyright 2004-2026, Lars Nerger, Alfred Wegener Institute, Helmholtz Center for Polar and Marine Research, Bremerhaven, Germany. For license information, please see ...

Abstract: The Steiner Forest Problem is a fundamental combinatorial optimization problem in operations research and computer science. Given an undirected graph with non-negative weights for edges and ...

In today’s fast-paced digital landscape, performance and scalability are no longer optional—they’re essential. While Node.js has long been celebrated for its non-blocking, event-driven architecture, ...

The November 2024 core update took three weeks to complete. With the update complete, now is the time to analyze traffic changes. Recovery from ranking drops can take several months with no guaranteed ...

Aiming at the multi-objective vehicle path planning problem with time windows (VRPTW), a Spark-based parallel Adaptive Large Neighborhood Search algorithm (Spark-ALNS) is proposed to solve it. The ...

In recent years, the Massively Parallel Computation (MPC) model has gained significant attention. However, most distributed and parallel graph algorithms in the MPC model are designed for static ...

Genomic selection (GS) can accomplish breeding faster than phenotypic selection. Improving prediction accuracy is the key to promoting GS. To improve the GS prediction accuracy and stability, we ...

In recent years, the Massively Parallel Computation (MPC) model has gained significant attention. However, most of distributed and parallel graph algorithms in the MPC model are designed for static ...

Our research in the field of AI for science uncovered a mathematical structure that relates disparate mathematical constants through continued fraction formulas and offers an approach to proving their ...

Xi’an Shiyou University, School of Earth Science and Engineering, Xi’an 710065, China ...

Parallel computing refers to a computational approach where multiple tasks are executed simultaneously, harnessing the power of multiple processing units to solve a problem more efficiently. Unlike ...