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IEEE Transactions on Automation Science and Engineering, 2023
This paper addresses a distributed lot-streaming permutation flow shop scheduling problem that has various applications in real-life manufacturing systems.
Yuxia Pan, K. Gao, Zhiwu Li, N. Wu
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This paper addresses a distributed lot-streaming permutation flow shop scheduling problem that has various applications in real-life manufacturing systems.
Yuxia Pan, K. Gao, Zhiwu Li, N. Wu
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IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023
A permutation flow-shop scheduling problem (PFSP) has been studied for a long time due to its significance in real-life applications. This work proposes an improved artificial bee colony (ABC) algorithm with $Q$ -learning, named QABC, for solving it ...
Hanxiao Li +4 more
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A permutation flow-shop scheduling problem (PFSP) has been studied for a long time due to its significance in real-life applications. This work proposes an improved artificial bee colony (ABC) algorithm with $Q$ -learning, named QABC, for solving it ...
Hanxiao Li +4 more
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Deep Reinforcement Learning Based Optimization Algorithm for Permutation Flow-Shop Scheduling
IEEE Transactions on Emerging Topics in Computational Intelligence, 2023As a new analogy paradigm of human learning process, reinforcement learning (RL) has become an emerging topic in computational intelligence (CI). The synergy between the RL and CI is an emerging way to develop efficient solution algorithms for solving ...
Zixiao Pan +3 more
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IEEE Transactions on Industrial Informatics, 2023
This article investigates a distributed assembly no-wait flow-shop scheduling problem (DANWFSP), which has important applications in manufacturing systems. The objective is to minimize the total flowtime.
Fuqing Zhao +5 more
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This article investigates a distributed assembly no-wait flow-shop scheduling problem (DANWFSP), which has important applications in manufacturing systems. The objective is to minimize the total flowtime.
Fuqing Zhao +5 more
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IEEE Transactions on Industrial Informatics, 2023
Carbon peaking and carbon neutrality, which are significant strategies for national sustainable development, have attracted enormous attention from researchers in the manufacturing domain.
Fuqing Zhao, H. Zhang, Ling Wang
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Carbon peaking and carbon neutrality, which are significant strategies for national sustainable development, have attracted enormous attention from researchers in the manufacturing domain.
Fuqing Zhao, H. Zhang, Ling Wang
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IEEE Transactions on Emerging Topics in Computational Intelligence, 2023
With the global energy shortage, climate anomalies, environmental pollution becoming increasingly prominent, energy saving scheduling has attracted more and more concern than before.
Hao-Xiang Qin +6 more
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With the global energy shortage, climate anomalies, environmental pollution becoming increasingly prominent, energy saving scheduling has attracted more and more concern than before.
Hao-Xiang Qin +6 more
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IEEE Transactions on Emerging Topics in Computational Intelligence, 2023
As the development of economic globalization, the distributed manufacturing has become common in modern industries. The scheduling of production resources in multiple production centers becomes an emerging topic.
Zhongshi Shao, W. Shao, D. Pi
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As the development of economic globalization, the distributed manufacturing has become common in modern industries. The scheduling of production resources in multiple production centers becomes an emerging topic.
Zhongshi Shao, W. Shao, D. Pi
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IEEE Transactions on Evolutionary Computation, 2022
With increasing environmental awareness and energy requirement, sustainable manufacturing has attracted growing attention. Meanwhile, distributed manufacturing systems have become emerging due to the development of globalization.
Jing-jing Wang, Ling Wang
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With increasing environmental awareness and energy requirement, sustainable manufacturing has attracted growing attention. Meanwhile, distributed manufacturing systems have become emerging due to the development of globalization.
Jing-jing Wang, Ling Wang
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Iterated Greedy Algorithms for Flow-Shop Scheduling Problems: A Tutorial
IEEE Transactions on Automation Science and Engineering, 2022An iterated greedy algorithm (IGA) is a simple and powerful heuristic algorithm. It is widely used to solve flow-shop scheduling problems (FSPs), an important branch of production scheduling problems.
Ziyan Zhao, Mengchu Zhou, Shixin Liu
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