A Deep Reinforcement Learning Approach to the Flexible Flowshop Scheduling Problem with Makespan Minimization

Research article (2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS), 2020) · cited 14× · AI/ML
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A Deep Reinforcement Learning Approach to the Flexible Flowshop Scheduling Problem with Makespan Minimization

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A Deep Reinforcement Learning Approach to the Flexible Flowshop Scheduling Problem with Makespan Minimization is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Deep Reinforcement Learning Approach to the Flexible Flowshop Scheduling Problem with Makespan Minimization. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-reinforcement-learning-approach-to-the-flexible-flowshop-scheduling-problem-with-makespan-minimization
MLA “A Deep Reinforcement Learning Approach to the Flexible Flowshop Scheduling Problem with Makespan Minimization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-reinforcement-learning-approach-to-the-flexible-flowshop-scheduling-problem-with-makespan-minimization.
BibTeX @misc{4ortxyz_a-deep-reinforcement-learning-approach-to-the-flexible-flowshop-scheduling-problem-with-makespan-minimization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Deep Reinforcement Learning Approach to the Flexible Flowshop Scheduling Problem with Makespan Minimization}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-reinforcement-learning-approach-to-the-flexible-flowshop-scheduling-problem-with-makespan-minimization}, note = {Accessed: 2026-05-24}}
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