Please use this identifier to cite or link to this item:
https://lib.hpu.edu.vn/handle/123456789/33678
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Burke, Edmund K. | en_US |
dc.contributor.author | Kendall, Graham | en_US |
dc.date.accessioned | 2020-08-05T07:12:32Z | - |
dc.date.available | 2020-08-05T07:12:32Z | - |
dc.date.issued | 2014 | en_US |
dc.identifier.isbn | 978-1-4614-6939-1 | en_US |
dc.identifier.isbn | 978-1-4614-6940-7 | en_US |
dc.identifier.other | HPU2164631 | en_US |
dc.identifier.uri | https://lib.hpu.edu.vn/handle/123456789/33678 | - |
dc.description.abstract | The 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.extent | 715p. | en_US |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.subject | Algorithms | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Optimization Techniques | en_US |
dc.title | Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques (2 ed.) | en_US |
dc.type | Book | en_US |
dc.size | 7,85 MB | en_US |
dc.department | Technology | en_US |
Appears in Collections: | Technology |
Files in This Item:
File | Description | Size | Format | |
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Search-Methodologies-2ed.pdf Restricted Access | 8.04 MB | Adobe PDF | View/Open Request a copy |
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