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A Hybrid Cooperative Coevolution Algorithm for Fuzzy Flexible Job Shop Scheduling
IEEE transactions on fuzzy systems, 2019Flexible scheduling is one of the most significant core techniques for intelligent manufacturing systems. Realization of an optimized schedule through flexible resources assignment is critical to the application and popularization of flexible scheduling,
Lu Sun, Lin Lin, M. Gen, Haojie Li
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2016
This chapter studies a simple variant of the scheduling problem, namely job shop scheduling with unit-length tasks.
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This chapter studies a simple variant of the scheduling problem, namely job shop scheduling with unit-length tasks.
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Improved gray wolf optimizer for distributed flexible job shop scheduling problem
Science China Technological Sciences, 2022Xinyu Li +4 more
semanticscholar +1 more source
1996
Within the great variety of production scheduling problems the general job shop problem (JSP) is the probably most studied one by academic research during the last decade. It has earned a reputation for being notoriously difficult to solve. It illustrates at least some of the demands required by a wide array of real world problems.
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Within the great variety of production scheduling problems the general job shop problem (JSP) is the probably most studied one by academic research during the last decade. It has earned a reputation for being notoriously difficult to solve. It illustrates at least some of the demands required by a wide array of real world problems.
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A Review on Intelligent Scheduling and Optimization for Flexible Job Shop
International Journal of Control, Automation and Systems, 2023Bin Jiang +5 more
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A multi-action deep reinforcement learning framework for flexible Job-shop scheduling problem
Expert systems with applications, 2022Kun Lei +6 more
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A survey of job shop scheduling problem: The types and models
Computers & Operations Research, 2022Hegen Xiong +3 more
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A Rollout Metaheuristic for Job Shop Scheduling Problems
Annals of Operations Research, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Meloni, C., Pacciarelli, D., Pranzo, M.
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A Grasp for Job Shop Scheduling
2002In this paper, we describe a greedy randomized adaptive search procedure (GRASP) for the job shop scheduling problem (JSP). We incorporate to the conventional GRASP two new concepts: an intensification strategy and POP (Proximate Optimality Principle) in the construction phase. These two concepts were first proposed by Fleurent and Glover (1999) in the
S. Binato +3 more
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Dynamic scheduling for flexible job shop using a deep reinforcement learning approach
Computers & industrial engineering, 2023Yong Gui +4 more
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