Results 311 to 320 of about 161,061 (357)
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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
semanticscholar +1 more source
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
semanticscholar +1 more source
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
semanticscholar +1 more source
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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IEEE transactions on fuzzy systems, 2020
Flow shop scheduling (FSS) problem constitutes a major part of production planning in every manufacturing organization. It aims at determining the optimal sequence of processing jobs on available machines within a given customer order. In this article, a
Erfan Babaee Tirkolaee +2 more
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Flow shop scheduling (FSS) problem constitutes a major part of production planning in every manufacturing organization. It aims at determining the optimal sequence of processing jobs on available machines within a given customer order. In this article, a
Erfan Babaee Tirkolaee +2 more
semanticscholar +1 more source
Knowledge Discovery and Data Mining, 2021
Hybrid Flow Shop Scheduling Problem (HFSP) is an essential problem in the automated warehouse scheduling, aiming at optimizing the sequence of jobs and the assignment of machines to utilize the makespan or other objectives.
Fei Ni +7 more
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Hybrid Flow Shop Scheduling Problem (HFSP) is an essential problem in the automated warehouse scheduling, aiming at optimizing the sequence of jobs and the assignment of machines to utilize the makespan or other objectives.
Fei Ni +7 more
semanticscholar +1 more source
Reinforcement learning for robotic flow shop scheduling with processing time variations
International Journal of Production Research, 2021We address a robotic flow shop scheduling problem where two part types are processed on each given set of dedicated machines. A single robot moving on a fixed rail transports one part at a time, and the processing times of the parts vary on the machines ...
Jun-Ho Lee, Hyun-Jung Kim
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IEEE Transactions on Cybernetics, 2021
As an extension of the classical flow-shop scheduling problem, the hybrid flow-shop scheduling problem (HFSP) widely exists in large-scale industrial production systems and has been considered to be challenging for its complexity and flexibility ...
Jia-xu Fan +5 more
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As an extension of the classical flow-shop scheduling problem, the hybrid flow-shop scheduling problem (HFSP) widely exists in large-scale industrial production systems and has been considered to be challenging for its complexity and flexibility ...
Jia-xu Fan +5 more
semanticscholar +1 more source