| 引用本文: | 邓超,胡蓉,钱斌.混合分布估计算法求解考虑同步性和准时性的三阶段装配集成调度问题[J].控制理论与应用,2020,37(5):1090~1102.[点击复制] |
| DENG Chao,HU Rong,QIAN Bin.Hybrid estimation of distribution algorithm for three-stage assembly integrated scheduling problem considering assembly synchronization and delivery punctuality[J].Control Theory and Technology,2020,37(5):1090~1102.[点击复制] |
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| 混合分布估计算法求解考虑同步性和准时性的三阶段装配集成调度问题 |
| Hybrid estimation of distribution algorithm for three-stage assembly integrated scheduling problem considering assembly synchronization and delivery punctuality |
| 摘要点击 1535 全文点击 660 投稿时间：2019-09-03 修订日期：2019-11-25 |
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| DOI编号 10.7641/CTA.2019.90736 |
| 2020,37(5):1090-1102 |
| 中文关键词 同步性 准时性 三阶段集成调度 EDA算法 数学规划 优化目标权重 |
| 英文关键词 assembly synchronization delivery punctuality three-stage integrated scheduling estimation of distribution algorithm mathematical programming optimized objective weights |
| 基金项目 国家自然科学基金项目(51665025, 61963022), 云南省应用基础研究计划重点项目资助. |
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| 中文摘要 |
| 本文研究以加工–运输–装配同步性和交货准时性的加权和为优化目标的三阶段装配集成调度问题
(3sAISP SP), 并基于问题特点设计混合分布估计算法(HEDA)进行求解. 首先, 分别建立3sAISP SP的数学规划模型
和排列模型. 其次, 在对问题模型特点分析的基础上, 设计合理的编码和解码规则, 同时利用HEDA中基于概率模型
的全局搜索以发现问题解空间存在优质解的区域. 然后, 为进一步提高算法性能, 设计3种局部搜索策略对优质解区
域进行细致搜索. 进而, 在小规模问题下, 将HEDA得到的较优解与优化求解器GUROBI得到的最优解进行比较, 验
证HEDA的求解结果接近最优解; 在较大规模问题下, 将HEDA与其他有效智能优化算法进行比较, 验证HEDA的求
解性能. 最后, 通过对优化目标中不同权重设置的实验分析, 给出加工–运输–装配同步性和交货准时性权重设置的
合理范围, 并得到考虑装配同步性有利于降低中间库存的结论. |
| 英文摘要 |
| In this paper, a three-stage assembly integrated scheduling problem considering synchronization and punctuality
(3sAISP SP) of process-transport-assembly with minimizing the weighted sum is proposed, and a hybrid estimation
of distribution algorithm (HEDA) based on the problem’s characteristics is proposed to solve it. Firstly, a mathematical
programming model and a permutation model of 3sAISP SP are formulated respectively. Secondly, after analyzing 3sAISP
SP’s characteristics, the reasonable coding and decoding rules are designed, and HEDA’s global search based on the
probability model is used to find the regions containing high-quality solutions in solution space. Thirdly, to further enhance
HEDA’s performance, three neighborhood search strategies are devised to execute exploitation in the promising regions.
Furthermore, comparisons between HEDA and GUROBI under the small scale problems demonstrate that the solutions
obtained by HEDA are close to the optimal solution, and then comparisons among HEDA and other effective intelligent
algorithms under the larger scale problems manifests the effectiveness of HEDA. Finally, through the experimental analysis
of different weight settings in the optimization objective, the reasonable range of weight settings for process-transportassembly
synchronization and delivery punctuality is given, and the conclusion that considering assembly synchronization
is beneficial to reduce intermediate inventory is drawn. |
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