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dc.contributor.authorBurke, Edmund K.en_US
dc.contributor.authorKendall, Grahamen_US
dc.date.accessioned2020-08-05T07:12:32Z
dc.date.available2020-08-05T07:12:32Z
dc.date.issued2014en_US
dc.identifier.isbn978-1-4614-6939-1en_US
dc.identifier.isbn978-1-4614-6940-7en_US
dc.identifier.otherHPU2164631en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/33678
dc.description.abstractThe first edition of Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques was originally put together to offer a basic introduction to the various search and optimization techniques that students might need to use during their research, and this new edition continues this tradition. Search Methodologies has been expanded and brought completely up to date, including new chapters covering scatter search, GRASP, and very large neighborhood search. The chapter authors are drawn from across Computer Science and Operations Research and include some of the world’s leading authorities in their field. The book provides useful guidelines for implementing the methods and frameworks described and offers valuable tutorials to students and researchers in the field.en_US
dc.format.extent715p.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectAlgorithmsen_US
dc.subjectComputer Scienceen_US
dc.subjectOptimization Techniquesen_US
dc.titleSearch Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques (2 ed.)en_US
dc.typeBooken_US
dc.size7,85 MBen_US
dc.departmentTechnologyen_US


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