Title: A hierarchical particle swarm optimisation algorithm for cloud computing environment

Authors: Yen-Wu Ti; Shang-Kuan Chen; Wen-Cheng Wang

Addresses: College of Artificial Intelligence, Yango University of Technology, 99 Denglong Road, Mawei District, Fujian, China ' College of Artificial Intelligence, Yango University of Technology, 99 Denglong Road, Mawei District, Fujian, China ' College of Innovation and Entrepreneurship Education, Yango University, 99 Denglong Road, Mawei District, Fujian, China

Abstract: Production scheduling and vehicle routing are integrated to solve a task scheduling problem with a timing requirement in cloud computing. The issues of multiple compute resources for a lot of tasks are considered. In the tasks scheduling problem, each task is generally defined by the dependent data preparation time and compute time, and the communication time and time window for computing. A hierarchical particle swarm optimisation algorithm is proposed to solve the surgery scheduling problem and achieve a minimum delay.

Keywords: production scheduling; particle swarm optimisation; cloud computing.

DOI: 10.1504/IJICS.2022.122911

International Journal of Information and Computer Security, 2022 Vol.18 No.1/2, pp.12 - 26

Received: 29 Apr 2019
Accepted: 30 Jun 2019
Published online: 17 May 2022 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article