| 000 | 02854nam a22004335c 4500 | ||
|---|---|---|---|
| 988 | _aSpringer_Robotics_2019 | ||
| 999 |
_c115385 _d115385 _x1 |
||
| 001 | 115385 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230110040232.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn nnnaamaa | ||
| 008 | 190706s2019 gw a o |||| 0|eng d | ||
| 020 | _a9783030150501 | ||
| 024 | 7 |
_a10.1007/978-3-030-15050-1 _2doi |
|
| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
||
| 050 | 4 |
_aQA402.5 _b2019 EB |
|
| 100 | 1 |
_aSalomon, Shaul _eautor _9671781 |
|
| 245 | 1 | 0 |
_aActive robust optimization : _boptimizing for robustness of changeable products _cby Shaul Salomon |
| 250 | _aFirst edition | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2019 |
|
| 300 |
_a1 recurso en línea (XXV, 175 páginas) _b62 ilustraciones, 42 ilustraciones a color |
||
| 336 |
_2rdacontent _aTexto _btxt |
||
| 337 |
_2rdamedia _aelectrónico _bc |
||
| 338 |
_2rdacarrier _arecurso electrónico _bcr |
||
| 347 |
_atext file _bPDF |
||
| 490 | 0 |
_aSpringer Theses Recognizing Outstanding Ph.D. Research _x2190-5053 |
|
| 490 | 0 | _aIntelligent Technologies and Robotics (Springer-42732) | |
| 505 | 0 | _aIntroduction -- Background -- Active Robust Optimization -- Active Robust Multi-Objective Optimization -- Case Studies -- Conclusions -- Appendix: Calculation of the qϵ+ Indicator. | |
| 520 | 3 | _aThis book presents a novel framework, known as Active Robust Optimization, which provides the tools for evaluating, comparing and optimizing changeable products. Since any product that can change its configuration during normal operation may be considered a "changeable product," the framework is widely applicable. Further, the methodology enables designers to use adaptability to deal with uncertainties and so avoid over-conservative designs. Offering a comprehensive overview of the framework, including its unique features, such as its ability to optimally respond to uncertain situations, the book also defines a new class of optimization problem and examines the effects of changes in various parameters on their solution. Lastly, it discusses innovative approaches for solving the problem and demonstrates these with two examples from different fields in engineering design: optimization of an optical table and optimization of a gearbox. | |
| 650 | 7 |
_2embne _9145705 _aOptimización matemática |
|
| 650 | 7 |
_2embne _9671782 _aOptimización robusta |
|
| 650 | 7 |
_2embne _aProcesos de fabricación _9163432 |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783030150495 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030150518 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030150525 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-15050-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
||
| 998 |
_aSI _cm _dz _feng _ggw _h0 _b12/2019 _eel _zSI |
||