Results 121 to 130 of about 4,911,676 (214)
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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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IEEE Transactions on Cybernetics, 2022
Carbon peaking and carbon neutrality, which are the significant national strategy for sustainable development, have attracted considerable attention from production enterprises.
Fuqing Zhao, Shilu Di, Ling Wang
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Carbon peaking and carbon neutrality, which are the significant national strategy for sustainable development, have attracted considerable attention from production enterprises.
Fuqing Zhao, Shilu Di, Ling Wang
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IEEE Transactions on Cybernetics, 2022
A distributed flow-shop scheduling problem with lot-streaming that considers completion time and total energy consumption is addressed. It requires to optimally assign jobs to multiple distributed factories and, at the same time, sequence them.
Yuxia Pan, K. Gao, Zhiwu Li, N. Wu
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A distributed flow-shop scheduling problem with lot-streaming that considers completion time and total energy consumption is addressed. It requires to optimally assign jobs to multiple distributed factories and, at the same time, sequence them.
Yuxia Pan, K. Gao, Zhiwu Li, N. Wu
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International Journal of Production Research, 2022
Distributed hybrid flow shop scheduling (DHFS) problem has attracted much attention in recent years; however, DHFS with actual processing constraints like assembly is seldom considered and reinforcement learning is hardly embedded into meta-heuristic for
Jingcao Cai +3 more
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Distributed hybrid flow shop scheduling (DHFS) problem has attracted much attention in recent years; however, DHFS with actual processing constraints like assembly is seldom considered and reinforcement learning is hardly embedded into meta-heuristic for
Jingcao Cai +3 more
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IEEE Transactions on Industrial Informatics, 2022
In this article, a distributed hybrid flow shop scheduling problem with variable speed constraints is considered. To solve it, a knowledge-based adaptive reference points multiobjective algorithm (KMOEA) is developed.
Jun-Qiang Li +3 more
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In this article, a distributed hybrid flow shop scheduling problem with variable speed constraints is considered. To solve it, a knowledge-based adaptive reference points multiobjective algorithm (KMOEA) is developed.
Jun-Qiang Li +3 more
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International Journal of Production Research, 2022
A reinforcement learning-driven brain storm optimisation idea (RLBSO) is proposed in this paper to solve multi-objective energy-efficient distributed assembly no-wait flow shop scheduling problem.
Fuqing Zhao +5 more
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A reinforcement learning-driven brain storm optimisation idea (RLBSO) is proposed in this paper to solve multi-objective energy-efficient distributed assembly no-wait flow shop scheduling problem.
Fuqing Zhao +5 more
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IEEE Transactions on Cybernetics, 2021
In this study, a self-learning discrete Jaya algorithm (SD-Jaya) is proposed to address the energy-efficient distributed no-idle flow-shop scheduling problem (FSP) in a heterogeneous factory system (HFS-EEDNIFSP) with the criteria of minimizing the total
Fuqing Zhao, Ru Ma, Ling Wang
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In this study, a self-learning discrete Jaya algorithm (SD-Jaya) is proposed to address the energy-efficient distributed no-idle flow-shop scheduling problem (FSP) in a heterogeneous factory system (HFS-EEDNIFSP) with the criteria of minimizing the total
Fuqing Zhao, Ru Ma, Ling Wang
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A Bi-Population Cooperative Memetic Algorithm for Distributed Hybrid Flow-Shop Scheduling
IEEE Transactions on Emerging Topics in Computational Intelligence, 2021In the context of globalization and decentralized economies, the distributed manufacturing and scheduling systems have become emerging in large enterprises.
Jing-jing Wang, Ling Wang
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Expert systems with applications, 2022
In this paper, a matrix-cube-based estimation of distribution algorithm (MCEDA) is proposed to solve the energy-efficient distributed assembly permutation flow-shop scheduling problem (EE_DAPFSP) that minimizes both the maximum completion time ( C max ...
Zi-Qi Zhang +5 more
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In this paper, a matrix-cube-based estimation of distribution algorithm (MCEDA) is proposed to solve the energy-efficient distributed assembly permutation flow-shop scheduling problem (EE_DAPFSP) that minimizes both the maximum completion time ( C max ...
Zi-Qi Zhang +5 more
semanticscholar +1 more source