Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/26252
Title: Certain investigations on scheduling problems using meta heuristics
Researcher: Kannan M
Guide(s): Sivanandam S N
Keywords: information and communication engineering
manufacturing systems
meta heuristics
Upload Date: 1-Oct-2014
University: Anna University
Completed Date: 01/07/2005
Abstract: In manufacturing systems the selection of the appropriate order in newlinewhich waiting jobs are processed by machines is called Job sequencing or newlinepermutation flow shop scheduling Typically the number of machines newlineavailable is limited Each job consists of a certain number of operations and a newlinemachine can process a single operation at a time Although theoretically it is newlinepossible to find the optimum sequence by testing each one in practice it is newlinedifficult to check each sequence because of the large number of computations newlineinvolved Hence any technique to arrive at optimum sequence at least newlineapproximately will be quite valuable In the first part of the thesis three genetic newlinealgorithm operators and a model for job sequence are proposed newline newline
Pagination: ix,103p.
URI: http://hdl.handle.net/10603/26252
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File31.66 kBAdobe PDFView/Open
02_certificate.pdf5.47 kBAdobe PDFView/Open
03_abstract.pdf6.87 kBAdobe PDFView/Open
04_acknowledgement.pdf5.35 kBAdobe PDFView/Open
05_contents.pdf16.29 kBAdobe PDFView/Open
06_chapter 1.pdf15.9 kBAdobe PDFView/Open
07_chapter 2.pdf994.59 kBAdobe PDFView/Open
08_chapter 3.pdf34.96 kBAdobe PDFView/Open
09_chapter 4.pdf108.81 kBAdobe PDFView/Open
10_chapter 5.pdf99.7 kBAdobe PDFView/Open
11_chapter 6.pdf20.12 kBAdobe PDFView/Open
12_appendix.pdf40.82 kBAdobe PDFView/Open
13_references.pdf27.43 kBAdobe PDFView/Open
14_publications.pdf8.21 kBAdobe PDFView/Open
15_vitae.pdf5.06 kBAdobe PDFView/Open


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