| 000 | 03228nam a22005655i 4500 | ||
|---|---|---|---|
| 001 | 978-3-030-04067-3 | ||
| 003 | DE-He213 | ||
| 005 | 20220801214943.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 190329s2019 sz | s |||| 0|eng d | ||
| 020 |
_a9783030040673 _9978-3-030-04067-3 |
||
| 024 | 7 |
_a10.1007/978-3-030-04067-3 _2doi |
|
| 050 | 4 | _aTA329-348 | |
| 050 | 4 | _aTA345-345.5 | |
| 072 | 7 |
_aTBJ _2bicssc |
|
| 072 | 7 |
_aTEC009000 _2bisacsh |
|
| 072 | 7 |
_aTBJ _2thema |
|
| 082 | 0 | 4 |
_a620 _223 |
| 100 | 1 |
_aKaveh, Ali. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _941452 |
|
| 245 | 1 | 0 |
_aMetaheuristics: Outlines, MATLAB Codes and Examples _h[electronic resource] / _cby Ali Kaveh, Taha Bakhshpoori. |
| 250 | _a1st ed. 2019. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2019. |
|
| 300 |
_aXII, 190 p. 116 illus., 112 illus. in color. _bonline resource. |
||
| 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 | _aIntroduction -- Preliminaries and frameworks -- Artificial bee colony algorithm -- Big bang big crunch algorithm -- Teaching Learning Based Optimization Algorithm -- Imperialist Competitive Algorithm -- Cuckoo search -- Charged system search Algorithm -- Ray Optimization Algorithm -- Colliding Bodies Optimization Algorithm -- Tug-of-war optimization Algorithm -- Water Evaporation Optimization Algorithm -- Vibrating particles system algorithm -- Cyclical parthenogenesis algorithm -- Thermal exchange optimizaton algorithm. | |
| 520 | _aThe book presents eight well-known and often used algorithms besides nine newly developed algorithms by the first author and his students in a practical implementation framework. Matlab codes and some benchmark structural optimization problems are provided. The aim is to provide an efficient context for experienced researchers or readers not familiar with theory, applications and computational developments of the considered metaheuristics. The information will also be of interest to readers interested in application of metaheuristics for hard optimization, comparing conceptually different metaheuristics and designing new metaheuristics. | ||
| 650 | 0 |
_aEngineering mathematics. _93254 |
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| 650 | 0 |
_aEngineering—Data processing. _931556 |
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| 650 | 0 |
_aMathematical optimization. _94112 |
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| 650 | 0 |
_aMechanical engineering. _95856 |
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| 650 | 0 |
_aBuilding construction. _936859 |
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| 650 | 1 | 4 |
_aMathematical and Computational Engineering Applications. _931559 |
| 650 | 2 | 4 |
_aOptimization. _941453 |
| 650 | 2 | 4 |
_aMechanical Engineering. _95856 |
| 650 | 2 | 4 |
_aSolid Construction. _936861 |
| 700 | 1 |
_aBakhshpoori, Taha. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _941454 |
|
| 710 | 2 |
_aSpringerLink (Online service) _941455 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030040666 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030040680 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-04067-3 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cEBK | ||
| 999 |
_c76942 _d76942 |
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