| 000 | 02817nam a22005175i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-08356-8 | ||
| 003 | DE-He213 | ||
| 005 | 20200421112233.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 140722s2015 gw | s |||| 0|eng d | ||
| 020 |
_a9783319083568 _9978-3-319-08356-8 |
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| 024 | 7 |
_a10.1007/978-3-319-08356-8 _2doi |
|
| 050 | 4 | _aQ342 | |
| 072 | 7 |
_aUYQ _2bicssc |
|
| 072 | 7 |
_aCOM004000 _2bisacsh |
|
| 082 | 0 | 4 |
_a006.3 _223 |
| 100 | 1 |
_aWang, Xiaolei. _eauthor. |
|
| 245 | 1 | 3 |
_aAn Introduction to Harmony Search Optimization Method _h[electronic resource] / _cby Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger. |
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015. |
|
| 300 |
_aVI, 88 p. 46 illus., 5 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 |
||
| 490 | 1 |
_aSpringerBriefs in Applied Sciences and Technology, _x2191-530X |
|
| 505 | 0 | _aIntroduction -- The Overview of Harmony Search -- Harmony Search in Context with Other Nature-inspired Computational Algorithms -- The Variations of Harmony Search and Its Current Research Trends -- The Hybrid Strategies of Harmony Search in Optimization Problem Solving -- Conclusions. | |
| 520 | _aThis brief provides a detailed introduction, discussion and bibliographic review of the nature1-inspired optimization algorithm called Harmony Search. It uses a large number of simulation results to demonstrate the advantages of Harmony Search and its variants and also their drawbacks. The authors show how weaknesses can be amended by hybridization with other optimization methods. The Harmony Search Method with Applications will be of value to researchers in computational intelligence in demonstrating the state of the art of research on an algorithm of current interest. It also helps researchers and practitioners of electrical and computer engineering more generally in acquainting themselves with this method of vector-based optimization. | ||
| 650 | 0 | _aEngineering. | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 0 | _aMathematical optimization. | |
| 650 | 0 | _aComputational intelligence. | |
| 650 | 1 | 4 | _aEngineering. |
| 650 | 2 | 4 | _aComputational Intelligence. |
| 650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
| 650 | 2 | 4 | _aOptimization. |
| 700 | 1 |
_aGao, Xiao-Zhi. _eauthor. |
|
| 700 | 1 |
_aZenger, Kai. _eauthor. |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319083551 |
| 830 | 0 |
_aSpringerBriefs in Applied Sciences and Technology, _x2191-530X |
|
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-08356-8 |
| 912 | _aZDB-2-ENG | ||
| 942 | _cEBK | ||
| 999 |
_c58112 _d58112 |
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