000 | 03430nam a22005295i 4500 | ||
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001 | 978-3-662-47926-1 | ||
003 | DE-He213 | ||
005 | 20200421111843.0 | ||
007 | cr nn 008mamaa | ||
008 | 150808s2016 gw | s |||| 0|eng d | ||
020 |
_a9783662479261 _9978-3-662-47926-1 |
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024 | 7 |
_a10.1007/978-3-662-47926-1 _2doi |
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050 | 4 | _aQA75.5-76.95 | |
072 | 7 |
_aUMA _2bicssc |
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072 | 7 |
_aCOM014000 _2bisacsh |
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072 | 7 |
_aCOM018000 _2bisacsh |
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082 | 0 | 4 |
_a006 _223 |
245 | 1 | 0 |
_aHarmony Search Algorithm _h[electronic resource] : _bProceedings of the 2nd International Conference on Harmony Search Algorithm (ICHSA2015) / _cedited by Joong Hoon Kim, Zong Woo Geem. |
250 | _a1st ed. 2015. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2016. |
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300 |
_aXI, 470 p. 157 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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490 | 1 |
_aAdvances in Intelligent Systems and Computing, _x2194-5357 ; _v382 |
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505 | 0 | _aPart I Various Aspects of Optimization Algorithms -- Part II Large scale applications of HSA -- Part III Recent Variants of HSA -- Part IV Other Nature-inspired Algorithms -- Part V Related Areas and Computational Intelligence -- Part VI Optimization in Civil Engineering -- Part VII Multi-objectives variants of HSA. | |
520 | _aThe Harmony Search Algorithm (HSA) is one of the most well-known techniques in the field of soft computing, an important paradigm in the science and engineering community. This volume, the proceedings of the 2nd International Conference on Harmony Search Algorithm 2015 (ICHSA 2015), brings together contributions describing the latest developments in the field of soft computing with a special focus on HSA techniques. It includes coverage of new methods that have potentially immense application in various fields. Contributed articles cover aspects of the following topics related to the Harmony Search Algorithm: analytical studies; improved, hybrid and multi-objective variants; parameter tuning; and large-scale applications. The book also contains papers discussing recent advances on the following topics: genetic algorithms; evolutionary strategies; the firefly algorithm and cuckoo search; particle swarm optimization and ant colony optimization; simulated annealing; and local search techniques. This book offers a valuable snapshot of the current status of the Harmony Search Algorithm and related techniques, and will be a useful reference for practising researchers and advanced students in computer science and engineering. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aAlgorithms. | |
650 | 0 | _aComputers. | |
650 | 0 | _aComputational intelligence. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aComputing Methodologies. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aAlgorithm Analysis and Problem Complexity. |
700 | 1 |
_aKim, Joong Hoon. _eeditor. |
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700 | 1 |
_aGeem, Zong Woo. _eeditor. |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783662479254 |
830 | 0 |
_aAdvances in Intelligent Systems and Computing, _x2194-5357 ; _v382 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-662-47926-1 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c55680 _d55680 |