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_c103251 _d103251 _x1 |
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| 001 | 103251 | ||
| 003 | DE-He213 | ||
| 005 | 20240111050145.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 140722s2015 gw | s |||| 0|eng d | ||
| 020 | _a9783319083568 | ||
| 024 | 7 |
_a10.1007/978-3-319-08356-8 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
||
| 050 | 4 |
_aQ342 _b.W364 2015 EB |
|
| 100 | 1 |
_aWang, Xiaolei _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/18149841822302840012/ |
|
| 245 | 1 | 3 |
_aAn Introduction to Harmony Search Optimization Method _cby Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger. |
| 264 | 1 |
_aCham _bSpringer International Publishing _c2015 |
|
| 300 | _a1 recurso en línea (VI, 88 páginas 46 ilustraciones, 5 ilustraciones a color.) | ||
| 336 |
_2rdacontent _aTexto _btxt |
||
| 337 |
_2rdamedia _aelectrónico _bc |
||
| 338 |
_2rdacarrier _arecurso electrónico _bcr |
||
| 490 | 0 |
_aSpringerBriefs in Computational Intelligence _x2625-3704 |
|
| 490 | 0 | _aEngineering (Springer-11647) | |
| 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 | 3 | _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 | 7 |
_aInteligencia artificial _2embne _9413115 |
|
| 700 | 1 |
_aGao, Xiao-Zhi _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/44314689/ |
|
| 700 | 1 |
_aZenger, Kai _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/33153833144464330024/ |
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| 776 | 0 | 8 |
_iEdición impresa: _z9783319083575 |
| 776 | 0 | 8 |
_iEdición impresa: _z9783319083551 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-08356-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b03/2019 _dz _ef _feng _ggw _h0 |
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