AAAli Asghari
Ali Asghari
*This is an algorithmically generated author record based on publicly available information.
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Ali Asghari has a total of 2 co-authors. Here are the top co-authors by number of shared publications:
- Mohammad Karim Sohrabi
Department of Computer Engineering, Semnan Branch, Islamic Azad University, Semnan, Iran
4 shared publications - Farzin Yaghmaee
Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran
2 shared publications
Latest Publications
- 29 May 2022
- Published by Springer Nature in Journal of Ambient Intelligence and Humanized Computing
- Vol. 15 (1) , 197-217
Bi-objective cloud resource management for dependent tasks using Q-learning and NSGA-3
- 29 May 2022
- Published by Springer Nature in Journal of Ambient Intelligence and Humanized Computing
- Vol. 15 (1) , 197-217
Bi-objective cloud resource management for dependent tasks using Q-learning and NSGA-3
- 17 March 2021
- Published by Springer Nature in Computing
- Vol. 103 (7) , 1545-1567
Combined use of coral reefs optimization and reinforcement learning for improving resource utilization and load balancing in cloud environments
- 17 March 2021
- Published by Springer Nature in Computing
- Vol. 103 (7) , 1545-1567
Combined use of coral reefs optimization and reinforcement learning for improving resource utilization and load balancing in cloud environments
- 6 July 2020
- Published by Springer Nature in The Journal of Supercomputing
- Vol. 77 (3) , 2800-2828
Task scheduling, resource provisioning, and load balancing on scientific workflows using parallel SARSA reinforcement learning agents and genetic algorithm
- 6 July 2020
- Published by Springer Nature in The Journal of Supercomputing
- Vol. 77 (3) , 2800-2828
Task scheduling, resource provisioning, and load balancing on scientific workflows using parallel SARSA reinforcement learning agents and genetic algorithm
- 24 April 2020
- Published by Springer Nature in Soft Computing
- Vol. 24 (21) , 16177-16199
Online scheduling of dependent tasks of cloud’s workflows to enhance resource utilization and reduce the makespan using multiple reinforcement learning-based agents
- 24 April 2020
- Published by Springer Nature in Soft Computing
- Vol. 24 (21) , 16177-16199
Online scheduling of dependent tasks of cloud’s workflows to enhance resource utilization and reduce the makespan using multiple reinforcement learning-based agents