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单台批处理机生产运输协调合作博弈调度问题

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研究单台批处理机生产与生产前运输的协调调度问题,目标函数为最小化与完成时间相关的生产总成本。以工件为博弈方,以联盟的最大成本节省为特征函数,将调度问题转换为合作博弈模型。针对相同运输时间与加工时间的情形,证明该合作博弈具有非空核,β规则可得一个核分配。针对一般问题,设计Q-learning算法求解联盟最优调度,并利用β规则对节省的成本进行分配。数值算例验证了合作博弈模型的可行性以及Q-learning算法与β规则对节省成本分配的有效性。
Production and transportation coordinated cooperative game scheduling problem of single batching machine
We study the coordinated scheduling problem of production and pre-production transportation for a single batching machine.The objective is to minimize the total production cost related to the completion time.The scheduling problem is transformed into a cooperative game model with the jobs as the players and the maximal cost savings of the coalition as the characteristic function.For the case of the same transportation time and processing time,it is proved that the cooperative game has a non-empty core,and the β rule can get a core allocation.For general problems,the Q-learning algorithm is designed to solve the optimal scheduling of the coalition,and the β rule is used to allocate the cost savings.Numerical examples verify the feasibility of the cooperative game model and the effectiveness of the Q-learning algorithm and β rule for cost savings allocation.

batching machinetransportationcooperative gameQ-learningcost allocation

宫华、孙红梅、孙文娟、许可

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沈阳理工大学理学院,沈阳 110159

沈阳理工大学自动化与电气工程学院,沈阳 110159

批处理机 运输 合作博弈 Q-learning 成本分配

辽宁省"兴辽英才计划"项目辽宁省教育厅科学研究经费项目辽宁省教育厅科学研究经费项目

XLYC2006017LG202025LJKQZ2021057

2024

控制与决策
东北大学

控制与决策

CSTPCD北大核心
影响因子:1.227
ISSN:1001-0920
年,卷(期):2024.39(3)
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