Automatic design of scheduling policies for dynamic flexible job shop scheduling via surrogate-assis...
Automatic design of scheduling policies for dynamic flexible job shop scheduling via surrogate-assisted cooperative co-evolution genetic programming
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Publisher
London: Taylor & Francis
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Language
English
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Publisher
London: Taylor & Francis
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At present, a lot of references use discrete event simulation to evaluate the fitness of evolved rules, but which simulation configuration can achieve better evolutionary rules in a limited time has not been fully studied. This study proposes three types of hyper-heuristic methods for coevolution of the machine assignment rules (MAR) and job sequen...
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Full title
Automatic design of scheduling policies for dynamic flexible job shop scheduling via surrogate-assisted cooperative co-evolution genetic programming
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TN_cdi_crossref_primary_10_1080_00207543_2019_1620362
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1080_00207543_2019_1620362
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ISSN
0020-7543
E-ISSN
1366-588X
DOI
10.1080/00207543.2019.1620362
