Research of task scheduling of cyber physical system of coal preparation plant

Cyber physical system model of coal preparation plant was established. Dynamic alliance method was applied in task scheduling of the cyber physical system. A task scheduling algorithm for the cyber physical system of coal preparation plant was proposed which was based on an improved discrete particl...

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Main Authors: LEI Xuefeng, LIU Weidong, ZHANG Shen
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2015-03-01
Series:Gong-kuang zidonghua
Subjects:
Online Access:http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2015.03.016
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author LEI Xuefeng
LIU Weidong
ZHANG Shen
author_facet LEI Xuefeng
LIU Weidong
ZHANG Shen
author_sort LEI Xuefeng
collection DOAJ
description Cyber physical system model of coal preparation plant was established. Dynamic alliance method was applied in task scheduling of the cyber physical system. A task scheduling algorithm for the cyber physical system of coal preparation plant was proposed which was based on an improved discrete particle swarm optimization algorithm. In the improved algorithm, discrete particle swarm optimization algorithm is used for global optimization, and tabu search algorithm is adopted for local search, so as to obtain the globally optimal solution. The simulation results show that the improved algorithm improves convergence rate and precision of task scheduling and average utilization of processor.
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spelling doaj.art-611923a948704bf6b952b5aa407b5e9c2023-03-17T01:46:59ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2015-03-01413616510.13272/j.issn.1671-251x.2015.03.016Research of task scheduling of cyber physical system of coal preparation plantLEI XuefengLIU WeidongZHANG ShenCyber physical system model of coal preparation plant was established. Dynamic alliance method was applied in task scheduling of the cyber physical system. A task scheduling algorithm for the cyber physical system of coal preparation plant was proposed which was based on an improved discrete particle swarm optimization algorithm. In the improved algorithm, discrete particle swarm optimization algorithm is used for global optimization, and tabu search algorithm is adopted for local search, so as to obtain the globally optimal solution. The simulation results show that the improved algorithm improves convergence rate and precision of task scheduling and average utilization of processor.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2015.03.016coal preparation plantcyber physical systemtask schedulingdynamic allianceparticle swarm optimizationtabu search
spellingShingle LEI Xuefeng
LIU Weidong
ZHANG Shen
Research of task scheduling of cyber physical system of coal preparation plant
Gong-kuang zidonghua
coal preparation plant
cyber physical system
task scheduling
dynamic alliance
particle swarm optimization
tabu search
title Research of task scheduling of cyber physical system of coal preparation plant
title_full Research of task scheduling of cyber physical system of coal preparation plant
title_fullStr Research of task scheduling of cyber physical system of coal preparation plant
title_full_unstemmed Research of task scheduling of cyber physical system of coal preparation plant
title_short Research of task scheduling of cyber physical system of coal preparation plant
title_sort research of task scheduling of cyber physical system of coal preparation plant
topic coal preparation plant
cyber physical system
task scheduling
dynamic alliance
particle swarm optimization
tabu search
url http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2015.03.016
work_keys_str_mv AT leixuefeng researchoftaskschedulingofcyberphysicalsystemofcoalpreparationplant
AT liuweidong researchoftaskschedulingofcyberphysicalsystemofcoalpreparationplant
AT zhangshen researchoftaskschedulingofcyberphysicalsystemofcoalpreparationplant