An improved artificial chemical reaction optimization algorithm for job scheduling problem in grid computing environments

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成果类型：

期刊论文

作者：

Pan, Guo;Xu, Yuming*;Ouyang, Aijia;Zheng, Guangyong

通讯作者：

Xu, Yuming

作者机构：

[Pan, Guo] Hunan Univ, Coll Informat Sci & Engn, Changsha 410082, Hunan, Peoples R China.

[Xu, Yuming; Zheng, Guangyong] Hengyang Normal Univ, Dept Comp Sci, Hengyang 421008, Hunan, Peoples R China.

[Ouyang, Aijia] Hunan City Univ, Sch Informat Sci & Engn, Yiyang 413000, Hunan, Peoples R China.

[Ouyang, Aijia] Hunan Sci & Technol Econ Trade Vocat Coll, Coll Comp, Hengyang 421001, Hunan, Peoples R China.

通讯机构：

[Xu, Yuming] H

Hengyang Normal Univ, Dept Comp Sci, Hengyang 421008, Hunan, Peoples R China.

语种：

英文

关键词：

Algorithms;Chemical reactions;Computational complexity;Computer software;Genetic algorithms;Heuristic algorithms;Heuristic methods;Job shop scheduling;Optimization;Polynomial approximation;Potential energy;Scheduling;Scheduling algorithms;Artificial chemical reaction optimization algorithms;Chemical reaction process;Chemical-reaction optimizations;Grid computing environment;Job scheduling;Job scheduling problem;Makespan;Meta-heuristic optimizations;Grid computing

期刊：

Journal of Computational and Theoretical Nanoscience

ISSN：

1546-1955

年：

2015

卷：

期：

页码：

1300-1310

DOI：

10.1166/jctn.2015.3890

基金类别：

Key Program of National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61133005]; National Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61070057, 90715029, 61370095]; Science and Technology Research Foundation of Hunan Province [2014GK3043, 2013GK3082]; Research Foundation of Education Bureau of Hunan Province, China [13C333]

机构署名：

本校为通讯机构

院系归属：

计算机科学与技术学院

摘要：

The non-deterministic polynomial-time-hard job scheduling problem can be regarded as the optimal assignment of a set of jobs to a set of computing nodes to minimize the completion time. Such problems can be efficiently addressed through a meta-heuristic optimization approach, such as the new artificial chemical reaction optimization method. This approach mimics a chemical reaction process in which reactants interact with one another to reach the minimum enthalpy (potential energy) state. Therefore, this study proposes a novel approach of artifi...

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An improved artificial chemical reaction optimization algorithm for job scheduling problem in grid computing environments

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