Learning to dispatch for job shop scheduling via deep reinforcement learning

Learning to dispatch for job shop scheduling via deep reinforcement learning

Priority dispatching rule (PDR) is widely used for solving real-world Job-shop scheduling problem (JSSP). However, the design of effective PDRs is a tedious task, requiring a myriad of specialized knowledge and often delivering limited performance. In this paper, we propose to automatically learn PD...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	ZHANG, Cong, SONG, Wen, CAO, Zhiguang, ZHANG, Jie, TAN, Puay Siew, CHI, Xu
التنسيق:	text
اللغة:	English
منشور في:	Institutional Knowledge at Singapore Management University 2020
الموضوعات:	Databases and Information Systems
الوصول للمادة أونلاين:	https://ink.library.smu.edu.sg/sis_research/8133 https://ink.library.smu.edu.sg/context/sis_research/article/9136/viewcontent/NeurIPS_2020_learning_to_dispatch_for_job_shop_scheduling_via_deep_reinforcement_learning_Paper.pdf
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