| 000 | 02870nam a22004815i 4500 | ||
|---|---|---|---|
| 001 | 978-3-540-31759-3 | ||
| 003 | DE-He213 | ||
| 005 | 20161121231117.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100301s2006 gw | s |||| 0|eng d | ||
| 020 |
_a9783540317593 _9978-3-540-31759-3 |
||
| 024 | 7 |
_a10.1007/3-540-31759-7 _2doi |
|
| 050 | 4 | _aTA329-348 | |
| 050 | 4 | _aTA640-643 | |
| 072 | 7 |
_aTBJ _2bicssc |
|
| 072 | 7 |
_aMAT003000 _2bisacsh |
|
| 082 | 0 | 4 |
_a519 _223 |
| 100 | 1 |
_aAhn, Chang Wook. _eauthor. |
|
| 245 | 1 | 0 |
_aAdvances in Evolutionary Algorithms _h[electronic resource] : _bTheory, Design and Practice / _cby Chang Wook Ahn. |
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2006. |
|
| 300 |
_aXVI, 172 p. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aStudies in Computational Intelligence, _x1860-949X ; _v18 |
|
| 505 | 0 | _aPractical Genetic Algorithms -- Real-World Application: Routing Problem -- Elitist Compact Genetic Algorithms -- Real-coded Bayesian Optimization Algorithm -- Multiobjective Real-coded Bayesian Optimization Algorithm -- Conclusions. | |
| 520 | _aGenetic and evolutionary algorithms (GEAs) have often achieved an enviable success in solving optimization problems in a wide range of disciplines. The goal of this book is to provide effective optimization algorithms for solving a broad class of problems quickly, accurately, and reliably by employing evolutionary mechanisms. In this regard, five significant issues have been investigated: Bridging the gap between theory and practice of GEAs, thereby providing practical design guidelines. Demonstrating the practical use of the suggested road map. Offering a useful tool to significantly enhance the exploratory power in time-constrained and memory-limited applications. Providing a class of promising procedures that are capable of scalably solving hard problems in the continuous domain. Opening an important track for multiobjective GEA research that relies on decomposition principle. This book serves to play a decisive role in bringing forth a paradigm shift in future evolutionary computation. | ||
| 650 | 0 | _aEngineering. | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 0 | _aApplied mathematics. | |
| 650 | 0 | _aEngineering mathematics. | |
| 650 | 1 | 4 | _aEngineering. |
| 650 | 2 | 4 | _aAppl.Mathematics/Computational Methods of Engineering. |
| 650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783540317586 |
| 830 | 0 |
_aStudies in Computational Intelligence, _x1860-949X ; _v18 |
|
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/3-540-31759-7 |
| 912 | _aZDB-2-ENG | ||
| 950 | _aEngineering (Springer-11647) | ||
| 999 |
_c508735 _d508735 |
||