000 | 03363nam a22006015i 4500 | ||
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001 | 978-0-387-28356-2 | ||
003 | DE-He213 | ||
005 | 20161121230926.0 | ||
007 | cr nn 008mamaa | ||
008 | 100301s2005 xxu| s |||| 0|eng d | ||
020 |
_a9780387283562 _9978-0-387-28356-2 |
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024 | 7 |
_a10.1007/0-387-28356-0 _2doi |
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050 | 4 | _aQA402-402.37 | |
050 | 4 | _aT57.6-57.97 | |
072 | 7 |
_aKJT _2bicssc |
|
072 | 7 |
_aKJM _2bicssc |
|
072 | 7 |
_aBUS049000 _2bisacsh |
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072 | 7 |
_aBUS042000 _2bisacsh |
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082 | 0 | 4 |
_a519.6 _223 |
245 | 1 | 0 |
_aSearch Methodologies _h[electronic resource] : _bIntroductory Tutorials in Optimization and Decision Support Techniques / _cedited by Edmund K. Burke, Graham Kendall. |
264 | 1 |
_aBoston, MA : _bSpringer US, _c2005. |
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300 |
_aVI, 620 p. 99 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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505 | 0 | _aClassical Techniques -- Integer Programming -- Genetic Algorithms -- Genetic Programming -- Tabu Search -- Simulated Annealing -- Variable Neighborhood Search -- Constraint Programming -- Multi-Objective Optimization -- Complexity Theory and the No Free Lunch Theorem -- Machine Learning -- Artificial Immune Systems -- Swarm Intelligence -- Fuzzy Reasoning -- Rough Set Based Decision Support -- Hyper-Heuristics -- Approximation Algorithms -- Fitness Landscapes. | |
520 | _aSearch Methodologies is a tutorial survey of the methodologies that are at the confluence of several fields: Computer Science, Mathematics and Operations Research. It is a carefully structured and integrated treatment of the major technologies in optimization and search methodology. The book is made up of 19 chapters. 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 result is a major state-of-the-art tutorial text of the main optimization and search methodologies available to researchers, students and practitioners across discipline domains in applied science. It can be used as a textbook or a reference book to learn and apply these methodologies to a wide range of today’s problems. It has been written by some of the world’s most well known authors in the field. | ||
650 | 0 | _aMathematics. | |
650 | 0 | _aOperations research. | |
650 | 0 | _aDecision making. | |
650 | 0 | _aComputers. | |
650 | 0 | _aMathematical models. | |
650 | 0 | _aMathematical optimization. | |
650 | 0 | _aManagement science. | |
650 | 0 | _aApplied mathematics. | |
650 | 0 | _aEngineering mathematics. | |
650 | 1 | 4 | _aMathematics. |
650 | 2 | 4 | _aOperations Research, Management Science. |
650 | 2 | 4 | _aOptimization. |
650 | 2 | 4 | _aOperation Research/Decision Theory. |
650 | 2 | 4 | _aComputing Methodologies. |
650 | 2 | 4 | _aAppl.Mathematics/Computational Methods of Engineering. |
650 | 2 | 4 | _aMathematical Modeling and Industrial Mathematics. |
700 | 1 |
_aBurke, Edmund K. _eeditor. |
|
700 | 1 |
_aKendall, Graham. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9780387234601 |
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/0-387-28356-0 |
912 | _aZDB-2-SMA | ||
950 | _aMathematics and Statistics (Springer-11649) | ||
999 |
_c506007 _d506007 |