Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/136641
Title: Design of memetic algorithm with Automatic termination scheme and Preferential local search using Adaptive weights
Researcher: Bhuvana J
Guide(s): Aravindan C
Keywords: algorithm
Design of memetic
Information and Communication engineering
University: Anna University
Completed Date: 01/07/2015
Abstract: newline Memetic algorithms are generally employed in an attempt to find newlinePareto optimal solutions for multiobjective optimization problems by newlinecombining global and local search procedures together This dissertation newlinepresents a design of memetic algorithm that addresses a few of the issues newlinenamely selecting individuals for local search nature of the Local Search newlineLS frequency of LS depth of LS how multiple objectives are to be newlinecombined so that LS can be applied on them Apart from these a mechanism newlineto terminate the evolution of memetic algorithm has also been proposed in newlinethis dissertation newline
Pagination: xx, 147p.
URI: http://hdl.handle.net/10603/136641
Appears in Departments:Faculty of Information and Communication Engineering

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02_certificate.pdf1.61 MBAdobe PDFView/Open
03_abstract.pdf48.69 kBAdobe PDFView/Open
04_acknowledgement.pdf49.15 kBAdobe PDFView/Open
05_contents.pdf61.1 kBAdobe PDFView/Open
06_list of table.pdf61.74 kBAdobe PDFView/Open
07_list of symbols.pdf47.71 kBAdobe PDFView/Open
08_chapter 1.pdf127.22 kBAdobe PDFView/Open
09_chapter 2.pdf216.83 kBAdobe PDFView/Open
10_chapter 3.pdf93.67 kBAdobe PDFView/Open
11_chapter 4.pdf139.96 kBAdobe PDFView/Open
12_chapter 5.pdf151.41 kBAdobe PDFView/Open
13_chapter 6.pdf123.14 kBAdobe PDFView/Open
14_chapter 7.pdf313.17 kBAdobe PDFView/Open
15_chapter 8.pdf234.85 kBAdobe PDFView/Open
16_chapter 9.pdf75.37 kBAdobe PDFView/Open
17_references.pdf94.12 kBAdobe PDFView/Open
18_publications.pdf44.38 kBAdobe PDFView/Open
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