Abstract: For dynamic task scheduling problems in cloud computing environments, we propose a deep reinforcement learning algorithm based on graph neural networks (GNN-PPO) that enables real-time ...

China Energy Engineering Guangxi Electric Power Design Institute Co., ltd, Nanning, China The final, formatted version of the article will be published soon. The integration of large-scale renewable ...

A study highlighting Amazon's dynamic pricing algorithm indicates that the function led schools and municipalities to overpay for office supplies. While Amazon may offer convenience, its pricing ...

AI algorithms use information about you to decide how much you'll pay for items you need. It's unfair, and the Legislature must act. Credit: Getty Images. Across our economy, powerful companies are ...

Popular food delivery service Instacart has been using a shady algorithm that charges different prices to different customers on the same grocery items in the same supermarkets without telling them, ...

McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States Oden Institute for Computational Engineering and Sciences, The University of Texas at ...

Train Seq-MADAC with MOEA/D in different tasks. # Train python algos/madac/main.py --config=sadn_ns --env-config=moea with env_args.key=M_2_46_3 Train Seq-MADAC with 10 D Seq-Sigmoid-Mask. python ...

ABSTRACT: The PMU’s performance relies on its ability to detect and provide accurate measurements of both steady-state and dynamic conditions. The phasor estimation algorithm assesses the accuracy and ...

Abstract: This paper focuses on the dynamic scheduling problem of flexible job-shop (FJSDS) and proposes a rescheduling optimization algorithm based on non-cooperative game theory. The research aims ...