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热轧批量计划模型及其混合求解算法
  • ISSN号：1000-5781
  • 期刊名称：系统工程学报
  • 时间：0
  • 页码：82-90+120
  • 分类：TP278[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置] TP29[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置]
  • 作者机构：[1]东北大学流程工业综合自动化教育部重点实验室,辽宁沈阳110819, [2]东北大学自动化研究中心,辽宁沈阳110819
  • 相关基金：国家自然科学基金资助项目（60974091;61020106003）; 国家基础研究计划资助项目（973计划）（2009CB320601）; 新世纪优秀人才支持计划资助项目（NCET-08-0105）; 教育部留学回国人员科研启动基金
  • 相关项目：面向节能降耗的炼钢－连铸－热轧过程运行优化关键技术研究
作者： 屠乃威|黄辉|罗小川|柴天佑|
关键词： 热轧批量计划, 奖金收集车辆路径问题, 蚁群算法, 模拟退火算法, hot rolling lot planning, prize collecting vehicle routing problem, simulated annealing, ant colony optimization
中文摘要：

分析了热轧批量计划编制问题,建立了基于奖金收集车辆路径问题的计划数不确定的热轧批量计划模型.模型中考虑了热轧生产的多种工艺约束和生产目标.针对该模型提出了一种基于模拟退火算法和蚁群算法的混合算法,混合算法中利用模拟退火算法得到热轧批量计划的一个初始解来生成蚁群算法中的初始信息素分布,利用蚁群算法寻找全局最优解.在蚁群算法中又嵌入了模拟退火算法进行局部搜索,避免蚁群算法陷入局部最优.实验结果表明所提出的模型和算法是有效的.

英文摘要：

Hot rolling lot planning is analyzed and a prize collecting vehicle routing problem（PCVRP） model with uncertain rolling planning numbers for hot rolling lot planning is proposed.The model considers a lot of production process constraints and production targets.A hybrid algorithm based on simulated annealing（SA） and ant colony optimization（ACO） is proposed for solving the model.In the hybrid algorithm,simulated annealing is used to search the initial solution of hot rolling lot planning to form the initial information pheromone,ant colony optimization is used to search the global optimal solution.Simulated annealing employs certain probability to avoid becoming trapped in a local optimum in ant colony optimization.The experimental results show that the model and the hybrid algorithm are effective for hot rolling lot planning.

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面向节能降耗的炼钢－连铸－热轧过程运行优化关键技术研究
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期刊信息
  • 《系统工程学报》
  • 北大核心期刊（2014版）
  • 主管单位:中国科协
  • 主办单位:中国系统工程学会
  • 主编：唐万生
  • 地址：天津市卫津路92号
  • 邮编：300072
  • 邮箱：jsetju@263.net
  • 电话：022-27403197
  • 国际标准刊号：ISSN：1000-5781
  • 国内统一刊号：ISSN：12-1141/O1
  • 邮发代号:6-95
  • 获奖情况:
  • 国内外数据库收录:
  • 美国数学评论（网络版）,德国数学文摘,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）
  • 被引量:14850