Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/367949
Title: Population Based Hybrid Algorithms and Their Applications
Researcher: Agarwal, Seema
Guide(s): Singh, Dipti
Keywords: Mathematics
Mathematics Applied
Physical Sciences
University: Gautam Buddha University
Completed Date: 2017
Abstract: Optimization problems occur in various fields of science and newlineengineering such as civil engineering, mechanical engineering, electrical newlineengineering, telecommunication engineering, chemical and biochemical newlineengineering, computer science, manufacturing systems, economics, newlineagricultural sciences, physical sciences, networking systems, pattern newlinerecognition, security systems, business management, etc. In fact the newly newlinedeveloped optimization techniques are now being widely used in several newlinespheres of human activity where decisions have to be taken in some complex newlinesituations that can be represented by mathematical models. Optimization can newlinethus be viewed as a kind of decision making, in which decisions have to be newlinetaken to optimize one or more objectives under given set of situations. newline
Pagination: All Pages
URI: http://hdl.handle.net/10603/367949
Appears in Departments:Applied Mathematics

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08_acnowledgement.pdf5.84 kBAdobe PDFView/Open
09_abstract.pdf13.65 kBAdobe PDFView/Open
10_chapter1.pdf983.79 kBAdobe PDFView/Open
11_chapter2.pdf2.65 MBAdobe PDFView/Open
12_chapter3.pdf2.17 MBAdobe PDFView/Open
13_chapter4.pdf586.41 kBAdobe PDFView/Open
14_chapter5.pdf317.91 kBAdobe PDFView/Open
15_chapter6.pdf732.07 kBAdobe PDFView/Open
16_chapter7.pdf862.5 kBAdobe PDFView/Open
17_chapter8.pdf124.44 kBAdobe PDFView/Open
18_appendixes.pdf464.69 kBAdobe PDFView/Open
19_bibliography.pdf314.23 kBAdobe PDFView/Open
80_recommendation.pdf124.44 kBAdobe PDFView/Open
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