An improved multi-population genetic algorithm with a greedy job insertion inter-factory neighborhood structure for distributed heterogeneous hybrid flow shop scheduling problem.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/eswa/CuiLG23
Home
|
Example Publications
Property
Value
dcterms:
bibliographicCitation
<
http://dblp.uni-trier.de/rec/bibtex/journals/eswa/CuiLG23
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Hanghao_Cui
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Liang_Gao_0001
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Xinyu_Li
>
foaf:
homepage
<
http://dx.doi.org/doi.org%2F10.1016%2Fj.eswa.2023.119805
>
foaf:
homepage
<
https://doi.org/10.1016/j.eswa.2023.119805
>
dc:
identifier
DBLP journals/eswa/CuiLG23
(xsd:string)
dc:
identifier
DOI doi.org%2F10.1016%2Fj.eswa.2023.119805
(xsd:string)
dcterms:
issued
2023
(xsd:gYear)
swrc:
journal
<
https://dblp.l3s.de/d2r/resource/journals/eswa
>
rdfs:
label
An improved multi-population genetic algorithm with a greedy job insertion inter-factory neighborhood structure for distributed heterogeneous hybrid flow shop scheduling problem.
(xsd:string)
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Hanghao_Cui
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Liang_Gao_0001
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Xinyu_Li
>
swrc:
month
July
(xsd:string)
swrc:
pages
119805
(xsd:string)
owl:
sameAs
<
http://bibsonomy.org/uri/bibtexkey/journals/eswa/CuiLG23/dblp
>
owl:
sameAs
<
http://dblp.rkbexplorer.com/id/journals/eswa/CuiLG23
>
rdfs:
seeAlso
<
http://dblp.uni-trier.de/db/journals/eswa/eswa222.html#CuiLG23
>
rdfs:
seeAlso
<
https://doi.org/10.1016/j.eswa.2023.119805
>
dc:
title
An improved multi-population genetic algorithm with a greedy job insertion inter-factory neighborhood structure for distributed heterogeneous hybrid flow shop scheduling problem.
(xsd:string)
dc:
type
<
http://purl.org/dc/dcmitype/Text
>
rdf:
type
swrc:Article
rdf:
type
foaf:Document
swrc:
volume
222
(xsd:string)