| 炼钢连铸作业计划的混合遗传优化与仿真分析 |
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| 引用本文： | 朱道飞,郑忠,高小强.炼钢连铸作业计划的混合遗传优化与仿真分析[J].计算机工程与应用,2010,46(1):241-245. |
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| 作者姓名： | 朱道飞 郑忠 高小强 |
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| 作者单位： | 1. 昆明理工大学冶金与能源工程学院,昆明,650093;重庆大学材料与科学工程学院,重庆,400045
2. 重庆大学材料与科学工程学院,重庆,400045 |
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| 基金项目： | 国家高技术研究发展计划(863)No.2007AA04Z161;;云南省自然科学基金No.2008ZC007M;;昆明理工大学校人才培养项目~~ |
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| 摘 要： | 为提高炼钢连铸作业计划制定的效率和质量，面向生产工艺流程网络图，建立了一种基于遗传算法与蚁群算法相结合的混合智能优化方法，进行炼钢连铸生产作业计划的编制，并可实现常见扰动情况下的重计划制定；利用基于元胞自动机思想建立的炼钢连铸流程仿真模型，进行生产作业计划的仿真分析和评价。将计划编制模型与仿真模型有机结合，为作业计划的在线动态评价和自动调整提供了一种有效手段。针对某钢厂的仿真实验研究表明：提出的智能优化方法能较好地解决炼钢-连铸生产作业计划的时间不确定性优化问题，可快速生成炉次间作业无冲突的优化生产作业计划。
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| 关 键 词： | 炼钢－连铸 作业计划优化 仿真分析 遗传算法 蚁群算法 |
| 收稿时间： | 2009-8-19 |
| 修稿时间： | 2009-10-9
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Hybrid genetic algorithm optimization-based production planning and simulation analysis for steelmaking and continuous casting |
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| ZHU Dao-fei,ZHENG Zhong,GAO Xiao-qiang.Hybrid genetic algorithm optimization-based production planning and simulation analysis for steelmaking and continuous casting[J].Computer Engineering and Applications,2010,46(1):241-245. |
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| Authors: | ZHU Dao-fei ZHENG Zhong GAO Xiao-qiang |
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| Affiliation: | 1.Faculty of Metallurgical and Energy Engineering,Kunming University of Science and Technology,Kunming 650093 ,China ;2.College of Material Science and Engineering, Chongqing University, Chongqing 400045, China) |
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| Abstract: | Based on procedure networks,a novel optimization model which combines ant colony algorithms and genetic algorithm is proposed to improve the performance and efficiency of production planning for steelmaking-continuous casting process.The production plan is analyzed and evaluated with the simulation model based on cellular automata.The integration of planning optimization model and simulation model provides a useful tool for online evaluating and adjusting production plan,and makes it possible to replan at c... |
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| Keywords: | steelmaking-continuous casting production planning optimization simulation analysis genetic algorithm ant colony algorithm |
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