A deep reinforcement learning based hybrid algorithm for efficient resource scheduling in edge computing environment

F Xue, Q Hai, T Dong, Z Cui, Y Gong - Information Sciences, 2022 - Elsevier
Edge computing can greatly decrease the delay between users and cloud servers, which
can significantly improve system service performance. However, it remains challenging for …

[PDF][PDF] Survey on task scheduling optimization strategy under multi-cloud environment

Q Zhang, S Geng, X Cai - CMES-Computer Modeling in …, 2023 - cdn.techscience.cn
Cloud computing technology is favored by users because of its strong computing power and
convenient services. At the same time, scheduling performance has an extremely efficient …

Improved slime mould algorithm by perfecting bionic-based mechanisms

T Yu, J Pan, Q Qian, M Song, J Yin… - … Journal of Bio …, 2023 - inderscienceonline.com
Slime mould algorithm (SMA) is a new meta-heuristic algorithm which imitates the biological
mechanism of natural creatures. It has good initial performance, but it also has some …

A discrete artificial bee colony algorithm for quadratic assignment problem

Z Peng, Y Huang, Y Zhong - Journal of High Speed Networks, 2022 - content.iospress.com
The quadratic assignment problem (QAP) is a well-known challenging combinational
optimization problem that has received many researchers' attention with varied real-world …

Robust design of damping controller for power system using a combination of snake optimisation algorithm and optimal control theory

N Agrawal, FA Khan, M Gowda - International Journal of …, 2024 - inderscienceonline.com
Low-frequency oscillations (LFO) are created in the power system due to various
disturbances. The LFO if not controlled, grows and causes the system separation. There is a …