Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/3802
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dc.contributor.authorXiong, Lei.en_US
dc.date.accessioned2008-09-17T09:37:51Z-
dc.date.available2008-09-17T09:37:51Z-
dc.date.copyright2004en_US
dc.date.issued2004-
dc.identifier.urihttp://hdl.handle.net/10356/3802-
dc.description.abstractMaterial handling system (MHS) in manufacturing consists of workcells, storage lanes and variety of equipments. Materials need efficient movements for producing and assembling. As many events could occur, such as equipment breakdown, buffer capacity full, and etc, an intelligent auto-recovery engine is requisite to handle those events.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering-
dc.subjectDRNTU::Engineering::Manufacturing::Plant engineering-
dc.titleEvolutionary computation approach to intelligent auto-recovery in manufacturingen_US
dc.typeThesisen_US
dc.contributor.supervisorSuganthan, Ponnuthurai Nagaratnamen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeMaster of Science (Computer Control and Automation)en_US
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
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