| 基于强化协同算法的多目标生产调度模型研究 |
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| 引用本文： | 贾万达,彭艳,石宝东.基于强化协同算法的多目标生产调度模型研究[J].广东电脑与电讯,2020,1(9):1-5. |
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| 作者姓名： | 贾万达 彭艳 石宝东 |
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| 作者单位： | 燕山大学机械工程学院国家冷轧板带装备及工艺工程技术研究中心 |
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| 基金项目： | 国家重点研发计划，项目编号：2017Y FB0306400；河北省自然科学基金杰出青年科学基金，项目编号：E2019203452；材料成形与
模具技术国家重点实验室开放基金项目，项目编号：P2020-013。 |
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| 摘 要： | 针对流程工业生产调度具有复杂性、多约束性和多目标性难以优化的特点，提出了一种新型强化协同优化算法
(N C O )，并将该算法应用于求解多目标优化问题，提出了基于N C O 算法的多目标协同优化方法(M O N C O )。研究表明，
M O N C O 算法应用于车间调度问题，不仅可以优化生产工序，还能减少迭代次数，提高计算效率。
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| 关 键 词： | 多目标优化 流程工业生产调度 协同优化 |
Research on Production Scheduling Based on Multi-objective Collaborative
OptimizationAlgorithm |
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| JIAWan-da PENG Yan SHI Bao-dong.Research on Production Scheduling Based on Multi-objective Collaborative
OptimizationAlgorithm[J].Computer & Telecommunication,2020,1(9):1-5. |
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| Authors: | JIAWan-da PENG Yan SHI Bao-dong |
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| Abstract: | In view of the complexity, multi-constraint and multi-objective characteristics of production scheduling in process indus-
try, an enhanced collaborative optimization algorithm (NCO) is proposed, which is applied to solve multi-objective optimization
problems, and a multi-objective collaborative optimization method (MONCO) based on NCO is proposed. The simulation results
show that MONCO algorithm can not only optimize the effect, but also reduce the number of iterations and improve the computa-
tional efficiency |
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| Keywords: | multi-objective optimization process industry production scheduling collaborative optimization |
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