000 | 03126nam a22004935i 4500 | ||
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001 | 978-3-642-21705-0 | ||
003 | DE-He213 | ||
005 | 20140220083806.0 | ||
007 | cr nn 008mamaa | ||
008 | 110726s2011 gw | s |||| 0|eng d | ||
020 |
_a9783642217050 _9978-3-642-21705-0 |
||
024 | 7 |
_a10.1007/978-3-642-21705-0 _2doi |
|
050 | 4 | _aTA329-348 | |
050 | 4 | _aTA640-643 | |
072 | 7 |
_aTBJ _2bicssc |
|
072 | 7 |
_aMAT003000 _2bisacsh |
|
082 | 0 | 4 |
_a519 _223 |
100 | 1 |
_aKöppen, Mario. _eeditor. |
|
245 | 1 | 0 |
_aIntelligent Computational Optimization in Engineering _h[electronic resource] : _bTechniques and Applications / _cedited by Mario Köppen, Gerald Schaefer, Ajith Abraham. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011. |
|
300 |
_aXII, 400 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 ; _v366 |
|
505 | 0 | _aPart I Frameworks -- Part II Algorithm Integration -- Part III Applications. | |
520 | _aWe often come across computational optimization virtually in all branches of engineering and industry. Many engineering problems involve heuristic search and optimization, and, once discretized, may become combinatorial in nature, which gives rise to certain difficulties in terms of solution procedure. Some of these problems have enormous search spaces, are NP-hard and hence require heuristic solution techniques. Another difficulty is the lack of ability of classical solution techniques to determine appropriate optima of non-convex problems. Under these conditions, recent advances in computational optimization techniques have been shown to be advantageous and successful compared to classical approaches. This Volume presents some of the latest developments with a focus on the design of algorithms for computational optimization and their applications in practice. Through the chapters of this book, researchers and practitioners share their experience and newest methodologies with regard to intelligent optimization and provide various case studies of the application of intelligent optimization techniques in real-world applications.This book can serve as an excellent reference for researchers and graduate students in computer science, various engineering disciplines and the industry. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aEngineering mathematics. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aAppl.Mathematics/Computational Methods of Engineering. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
700 | 1 |
_aSchaefer, Gerald. _eeditor. |
|
700 | 1 |
_aAbraham, Ajith. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642217043 |
830 | 0 |
_aStudies in Computational Intelligence, _x1860-949X ; _v366 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-21705-0 |
912 | _aZDB-2-ENG | ||
999 |
_c108048 _d108048 |