|本期目录/Table of Contents|

[1]何军红,马国伟,刘 赛,等.MES柔性作业车间调度优化算法的研究[J].工业仪表与自动化装置,2020,(01 总271):26-32.
 HE Junhong,MA Guowei,LIU Sai,et al.Research on MES flexible job shop scheduling optimization algorithm[J].Industrial Instrumentation & Automation,2020,(01 总271):26-32.
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MES柔性作业车间调度优化算法的研究

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2020年01期 总第271期
页码:
26-32
栏目:
出版日期:
2020-02-15

文章信息/Info

Title:
Research on MES flexible job shop scheduling optimization algorithm
作者:
何军红马国伟刘 赛张 迪
西北工业大学 航海学院,西安 710072
Author(s):
HE Junhong MA Guowei LIU Sai ZHANG Di
School of Marine Science and Technology,Northwestern Polytechnical University, Xi’an 710072, China
关键词:
多阶段优化调度算法分层式编码适应度
Keywords:
multi-stage optimization scheduling algorithm hierarchical coding adaptability
分类号:
TP274+.2
DOI:
-
文献标志码:
A
摘要:
MES即制造企业生产过程执行系统,是一套面向制造企业车间执行层的生产信息化管理系统。针对MES生产调度模块的柔性作业车间调度问题,提出一种改进的多阶段优化调度算法。在算法的第一阶段借鉴了基于工序顺序与基于机器相结合的编码方式,提出了基于矩阵序列的分层式编码方式,在选择操作前设计一种基于第三层高位编码值的淘汰机制;第二阶段结合通过删减网络的神经元或连接来降低网络复杂度的思想,提出一种遗传算法与神经网络算法结合的小范围竞争择优策略,并在交叉操作中提出了双层交叉操作以及分层交叉操作;第三阶段在变异操作后增加一种基于相似度值提高种群多样性的方法。经过仿真实验证明了该算法的优良性。
Abstract:
MES is a production information management system for the execution layer of the manufacturing enterprise.Aiming at the flexible job-shop scheduling problem of MES production scheduling module,an improved multi-stage optimization scheduling algorithm was proposed.In the first stage of the algorithm,the coding method based on the combination of process sequence and machine-based was used.A hierarchical coding method based on matrix sequence was proposed.A phase-out mechanism based on the third-level high-order code value was designed before the selection operation.In the second stage,with the idea of reducing the complexity of the network by deleting the neurons or connections of the network,a small-scale competitive optimization strategy combining genetic algorithm and neural network algorithm was proposed, and a double-layer crossover operation was proposed in the crossover operation and layered crossover operation. In the third stage, a method of increasing the diversity of population based on similarity value was added after variation operation. The simulation results have proved the superiority of the algorithm.

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备注/Memo

备注/Memo:
收稿日期:2019-05-09
基金项目:工信部绿色制造系统集成项目
作者简介:何军红(1971),男,博士,研究生导师,西北工业大学智能工业和信息化研究所所长,研究领域为控制工程、工业网络、智能制造、工业大数据、能源管理等技术。
更新日期/Last Update: 2020-01-10