Improved Adaptive Genetic Algorithm for Grid Resource Scheduling Via Quantum Control Techniques

被引：0
|
作者：
Chen, Fuyang [1 ]
Jiang, Bin [1 ]
Tao, Gang [2 ]
Zhang, Xinyu [1 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Peoples R China
[2] Univ Virginia, Dept Elect & Comp Engn, Charlottesville, VA 22903 USA
来源：
2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2013年
基金：
中国国家自然科学基金;
关键词：
Adaptive Genetic Algorithm; Grid Resource Scheduling; Quantum Control Technique; SYSTEMS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, an improved adaptive genetic algorithm of grid resource scheduling based on quantum information techniques is proposed. The grid resource scheduling problem is firstly described in detail. Then the traditional genetic algorithm and its application in grid resource scheduling are introduced. An adaptive genetic algorithm is improved by using quantum control technique, to maintain the diversity of the population and ensure the convergence of genetic algorithms. Simulation results show the high efficiency of the proposed algorithm in this paper.
引用
收藏
页码：3974 / 3978
页数：5
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