000 | 03747nam a22005775i 4500 | ||
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001 | 978-3-319-01128-8 | ||
003 | DE-He213 | ||
005 | 20200421112052.0 | ||
007 | cr nn 008mamaa | ||
008 | 130613s2013 gw | s |||| 0|eng d | ||
020 |
_a9783319011288 _9978-3-319-01128-8 |
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024 | 7 |
_a10.1007/978-3-319-01128-8 _2doi |
|
050 | 4 | _aQ342 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
082 | 0 | 4 |
_a006.3 _223 |
245 | 1 | 0 |
_aEVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV _h[electronic resource] : _bInternational Conference held at Leiden University, July 10-13, 2013 / _cedited by Michael Emmerich, Andre Deutz, Oliver Schuetze, Thomas B�ack, Emilia Tantar, Alexandru-Adrian Tantar, Pierre Del Moral, Pierrick Legrand, Pascal Bouvry, Carlos A. Coello. |
264 | 1 |
_aHeidelberg : _bSpringer International Publishing : _bImprint: Springer, _c2013. |
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300 |
_aXIV, 324 p. 140 illus. _bonline resource. |
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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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490 | 1 |
_aAdvances in Intelligent Systems and Computing, _x2194-5357 ; _v227 |
|
505 | 0 | _aMachine Learning and Probabilistic Models -- Complex Networks and Evolutionary Computation -- Diversity Oriented Optimization -- Set-oriented Numerics and Evolutionary Multiobjective Optimization -- Genetic Programming -- Robust Optimization. | |
520 | _aNumerical and computational methods are nowadays used in a wide range of contexts in complex systems research, biology, physics, and engineering.  Over the last decades different methodological schools have emerged with emphasis on different aspects of computation, such as nature-inspired algorithms, set oriented numerics, probabilistic systems and Monte Carlo methods. Due to the use of different terminologies and emphasis on different aspects of algorithmic performance there is a strong need for a more integrated view and opportunities for cross-fertilization across particular disciplines. These proceedings feature 20 original publications from distinguished authors in the cross-section of computational sciences, such as machine learning algorithms and probabilistic models, complex networks and fitness landscape analysis, set oriented numerics and cell mapping, evolutionary multiobjective optimization, diversity-oriented search, and the foundations of genetic programming algorithms. By presenting cutting edge results with a strong focus on foundations and integration aspects this work presents a stepping stone towards efficient, reliable, and well-analyzed methods for complex systems management and analysis. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComputational intelligence. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
700 | 1 |
_aEmmerich, Michael. _eeditor. |
|
700 | 1 |
_aDeutz, Andre. _eeditor. |
|
700 | 1 |
_aSchuetze, Oliver. _eeditor. |
|
700 | 1 |
_aB�ack, Thomas. _eeditor. |
|
700 | 1 |
_aTantar, Emilia. _eeditor. |
|
700 | 1 |
_aTantar, Alexandru-Adrian. _eeditor. |
|
700 | 1 |
_aMoral, Pierre Del. _eeditor. |
|
700 | 1 |
_aLegrand, Pierrick. _eeditor. |
|
700 | 1 |
_aBouvry, Pascal. _eeditor. |
|
700 | 1 |
_aCoello, Carlos A. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319011271 |
830 | 0 |
_aAdvances in Intelligent Systems and Computing, _x2194-5357 ; _v227 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-01128-8 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c57247 _d57247 |