000 | 03506nam a22006255i 4500 | ||
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001 | 978-981-10-5221-7 | ||
003 | DE-He213 | ||
005 | 20220801221344.0 | ||
007 | cr nn 008mamaa | ||
008 | 170630s2018 si | s |||| 0|eng d | ||
020 |
_a9789811052217 _9978-981-10-5221-7 |
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024 | 7 |
_a10.1007/978-981-10-5221-7 _2doi |
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050 | 4 | _aQ342 | |
072 | 7 |
_aUYQ _2bicssc |
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072 | 7 |
_aTEC009000 _2bisacsh |
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_aUYQ _2thema |
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_a006.3 _223 |
245 | 1 | 0 |
_aAdvanced Optimization by Nature-Inspired Algorithms _h[electronic resource] / _cedited by Omid Bozorg-Haddad. |
250 | _a1st ed. 2018. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2018. |
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300 |
_aXV, 159 p. 34 illus., 4 illus. in color. _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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490 | 1 |
_aStudies in Computational Intelligence, _x1860-9503 ; _v720 |
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505 | 0 | _aIntroduction -- Cat Swarm Optimization (CSO) Algorithm -- League Championship Algorithm (LCA) -- Anarchic Society Optimization (ASO) Algorithm -- Cuckoo Optimization Algorithm (COA) -- Teaching-Learning-Based Optimization (TLBO) Algorithm -- Flower pollination Algorithm (FPA) -- Krill Herd Algorithm (KHA) -- Grey Wolf Optimization (GWO) Algorithm -- Shark Smell Optimization (SSO) Algorithm -- Ant Lion Optimizer (ALO) Algorithm -- Gradient Evolution (GE) Algorithm -- Moth-Flame Optimization (MFO) Algorithm -- Crow Search Algorithm (CSA) -- Dragonfly Algorithm (DA). | |
520 | _aThis book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In addition, this book guides readers to studies that have implemented these algorithms by providing a literature review on developments and applications of each algorithm. This book is intended for students, but can be used by researchers and professionals in the area of engineering optimization. | ||
650 | 0 |
_aComputational intelligence. _97716 |
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650 | 0 |
_aMathematical optimization. _94112 |
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650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 0 |
_aOperations research. _912218 |
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650 | 0 |
_aMechanics, Applied. _93253 |
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650 | 0 |
_aImage processing—Digital techniques. _931565 |
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650 | 0 |
_aComputer vision. _955565 |
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650 | 1 | 4 |
_aComputational Intelligence. _97716 |
650 | 2 | 4 |
_aOptimization. _955566 |
650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aOperations Research and Decision Theory. _931599 |
650 | 2 | 4 |
_aEngineering Mechanics. _931830 |
650 | 2 | 4 |
_aComputer Imaging, Vision, Pattern Recognition and Graphics. _931569 |
700 | 1 |
_aBozorg-Haddad, Omid. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _955567 |
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710 | 2 |
_aSpringerLink (Online service) _955568 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9789811052200 |
776 | 0 | 8 |
_iPrinted edition: _z9789811052224 |
776 | 0 | 8 |
_iPrinted edition: _z9789811353451 |
830 | 0 |
_aStudies in Computational Intelligence, _x1860-9503 ; _v720 _955569 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-10-5221-7 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cEBK | ||
999 |
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