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造船厂钢板出库作业计划的建模及优化研究
引用本文:金淳,王广民,高鹏. 造船厂钢板出库作业计划的建模及优化研究[J]. 工业工程与管理, 2009, 14(6)
作者姓名:金淳  王广民  高鹏
作者单位:大连理工大学,系统工程研究所,辽宁,大连,116024
基金项目:教育部留学回国人员科研启动基金资助项目 
摘    要:对于造船厂钢板堆场出库作业计划问题,在分析堆场出库作业流程的基础上,建立了以出库作业时间最短为目标的优化模型.该模型可归结为多层组合优化问题.针对本问题寻优过程的阶段性和复杂性的特点,提出了基于改进遗传算法的多层嵌套启发式优化算法.与传统人工决策的作业方案相比,该优化结果可以缩短24%~67%的作业时间.

关 键 词:钢板作业计划  组合优化  遗传算法  多层嵌套算法

Modeling and Optimization on Operation Scheduling for a Steel Plate Yard in a Shipyard
JIN Chun,WANG Guang-min,GAO Peng. Modeling and Optimization on Operation Scheduling for a Steel Plate Yard in a Shipyard[J]. Industrial Engineering and Management, 2009, 14(6)
Authors:JIN Chun  WANG Guang-min  GAO Peng
Abstract:To research the operation scheduling for a steel plate yard in a shipyard,an optimization model aiming to minimize the operation time was established based on the analysis of steel plate pick-up operation process.This mathematical model was formulated as a multi-level combinatorial optimization model.Considering the characters of stage and complexity in optimization process,a multi-level nested optimization algorithm based on genetic algorithm was proposed and implemented to solve this problem.The results from this proposed algorithm can shorten operation time by 24% to 67%.
Keywords:steel plate operation scheduling  combinatorial optimization  genetic algorithm  multi-level nested algorithm
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