Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/5982
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dc.contributor.authorYang, S-
dc.contributor.authorWang, D-
dc.date.accessioned2011-11-21T15:36:03Z-
dc.date.available2011-11-21T15:36:03Z-
dc.date.issued1998-
dc.identifier.citationControl and Decision, 13(Supplement), 402 - 407, July 1998en_US
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/5982-
dc.descriptionThis article is published in Chineseen_US
dc.language.isozhen_US
dc.titleGenetic algorithm and adaptive neural network hybrid method for job-shop scheduling problemsen_US
dc.typeArticleen_US
pubs.organisational-data/Brunel-
pubs.organisational-data/Brunel/Brunel (Active)-
pubs.organisational-data/Brunel/Brunel (Active)/School of Info. Systems, Comp & Maths-
pubs.organisational-data/Brunel/Research Centres (RG)-
pubs.organisational-data/Brunel/Research Centres (RG)/CIKM-
pubs.organisational-data/Brunel/School of Information Systems, Computing and Mathematics (RG)-
pubs.organisational-data/Brunel/School of Information Systems, Computing and Mathematics (RG)/CIKM-
Appears in Collections:Computer Science
Dept of Computer Science Research Papers

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