Population Based Hybrid Algorithms and Their Applications
| dc.contributor.guide | Singh, Dipti | |
| dc.coverage.spatial | ||
| dc.creator.researcher | Agarwal, Seema | |
| dc.date.accessioned | 2022-03-14T06:22:54Z | |
| dc.date.available | 2022-03-14T06:22:54Z | |
| dc.date.awarded | 2018 | |
| dc.date.completed | 2017 | |
| dc.date.registered | 2012 | |
| dc.description.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 | |
| dc.description.note | ||
| dc.format.accompanyingmaterial | None | |
| dc.format.dimensions | ||
| dc.format.extent | All Pages | |
| dc.identifier.uri | http://hdl.handle.net/10603/367949 | |
| dc.language | English | |
| dc.publisher.institution | Applied Mathematics | |
| dc.publisher.place | Greater Noida | |
| dc.publisher.university | Gautam Buddha University | |
| dc.relation | ||
| dc.rights | university | |
| dc.source.university | University | |
| dc.subject.keyword | Mathematics | |
| dc.subject.keyword | Mathematics Applied | |
| dc.subject.keyword | Physical Sciences | |
| dc.title | Population Based Hybrid Algorithms and Their Applications | |
| dc.title.alternative | ||
| dc.type.degree | Ph.D. |
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