| 基于智能优化算法的车间调度问题研究 |
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| 引用本文： | 袁亮,袁逸萍,冯欢欢,孙文磊.基于智能优化算法的车间调度问题研究[J].新疆大学学报(理工版),2014(3):363-368. |
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| 作者姓名： | 袁亮 袁逸萍 冯欢欢 孙文磊 |
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| 作者单位： | 新疆大学机械工程学院 |
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| 基金项目： | 国家自然科学基金(61262059,51065028);新疆维吾尔自治区“十二五”重大专项(201130110-1);新疆大学博士启动基金项目(24-61295) |
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| 摘 要： | 车间的生产调度是一个非常复杂的问题,本文主要介绍车间调度问题模型以及蚁群算法、遗传算法、模拟退火算法等智能优化算法的研究情况,有效的生产调度方法和智能优化算法的应用,在很大程度上可以提高企业的效益.
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| 关 键 词： | 车间调度问题 蚁群算法 遗传算法 模拟退火算法 |
Research on the Job-shop Scheduling based on Intelligent Optimization Algrorithms |
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| YUAN Liang;YUAN Yi-ping;FENG Huan-huan;SUN Wen-lei.Research on the Job-shop Scheduling based on Intelligent Optimization Algrorithms[J].Journal of Xinjiang University(Science & Engineering),2014(3):363-368. |
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| Authors: | YUAN Liang;YUAN Yi-ping;FENG Huan-huan;SUN Wen-lei |
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| Institution: | YUAN Liang;YUAN Yi-ping;FENG Huan-huan;SUN Wen-lei;College of Mechanical Engineering,Xinjiang University; |
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| Abstract: | The job- shop production scheduling is a very complicated problem. we introduce ant colony algorithm,genetic algorithm,simulated annealing algorithm intelligent optimization algorithm,Efficient production scheduling methods and intelligent optimization algorithm can improve the effectiveness of an enterprise application to a large extent. |
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| Keywords: | Job-shop scheduling problem Ant Colony Algorithm Genetic Algorithms Simulated annealing algorithm |
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