Population Based Hybrid Algorithms and Their Applications

dc.contributor.guideSingh, Dipti
dc.coverage.spatial
dc.creator.researcherAgarwal, Seema
dc.date.accessioned2022-03-14T06:22:54Z
dc.date.available2022-03-14T06:22:54Z
dc.date.awarded2018
dc.date.completed2017
dc.date.registered2012
dc.description.abstractOptimization 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
dc.description.note
dc.format.accompanyingmaterialNone
dc.format.dimensions
dc.format.extentAll Pages
dc.identifier.urihttp://hdl.handle.net/10603/367949
dc.languageEnglish
dc.publisher.institutionApplied Mathematics
dc.publisher.placeGreater Noida
dc.publisher.universityGautam Buddha University
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordMathematics
dc.subject.keywordMathematics Applied
dc.subject.keywordPhysical Sciences
dc.titlePopulation Based Hybrid Algorithms and Their Applications
dc.title.alternative
dc.type.degreePh.D.

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