A reinforcement learning-driven brain storm optimisation algorithm for multi-objective energy-effici...
A reinforcement learning-driven brain storm optimisation algorithm for multi-objective energy-efficient distributed assembly no-wait flow shop scheduling problem
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Publisher
London: Taylor & Francis
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Language
English
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London: Taylor & Francis
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Contents
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. The objectives of the problem include minimising the maximum assembly completion time (
), minimising the total energy consumption (TEC) and achieving...
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Full title
A reinforcement learning-driven brain storm optimisation algorithm for multi-objective energy-efficient distributed assembly no-wait flow shop scheduling problem
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TN_cdi_crossref_primary_10_1080_00207543_2022_2070786
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1080_00207543_2022_2070786
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ISSN
0020-7543
E-ISSN
1366-588X
DOI
10.1080/00207543.2022.2070786
