000 | 04267nam a22005655i 4500 | ||
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001 | 978-3-319-16549-3 | ||
003 | DE-He213 | ||
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007 | cr nn 008mamaa | ||
008 | 150316s2015 gw | s |||| 0|eng d | ||
020 |
_a9783319165493 _9978-3-319-16549-3 |
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024 | 7 |
_a10.1007/978-3-319-16549-3 _2doi |
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050 | 4 | _aQA76.9.A43 | |
072 | 7 |
_aUMB _2bicssc |
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072 | 7 |
_aCOM051300 _2bisacsh |
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_a005.1 _223 |
245 | 1 | 0 |
_aApplications of Evolutionary Computation _h[electronic resource] : _b18th European Conference, EvoApplications 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings / _cedited by Antonio M. Mora, Giovanni Squillero. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015. |
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300 |
_aXXVII, 913 p. 304 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 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v9028 |
|
505 | 0 | _aEvolutionary computation, machine learning and data mining in computational biology -- Nature-inspired techniques for telecommunication networks and other parallel and distributed systems -- Evolutionary algorithms and complex systems -- Evolutionary computation in energy applications -- Evolutionary and natural computation in finance and economics -- Bio-inspired algorithms in games -- Evolutionary computation in image analysis, signal processing, and pattern recognition -- Nature-inspired techniques in industrial settings -- Bio-inspired algorithms for continuous parameter optimization -- Parallel implementation of evolutionary algorithms -- Computational intelligence for risk management, security and defence applications -- Evolutionary computation in robotics -- Evolutionary algorithms in stochastic and dynamic environments. | |
520 | _aThis book constitutes the refereed conference proceedings of the 18th International Conference on the Applications of Evolutionary Computation, EvoApplications 2015, held in Copenhagen, Spain, in April 2015, colocated with the Evo 2015 events EuroGP, EvoCOP, and EvoMUSART. The 72 revised full papers presented were carefully reviewed and selected from 125 submissions. EvoApplications 2015 consisted of the following 13 tracks: EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication networks and other parallel and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY (evolutionary computation in energy applications), EvoFIN (evolutionary and natural computation in finance and economics), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoRISK (computational intelligence for risk management, security and defence applications), EvoROBOT (evolutionary computation in robotics), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments). | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aComputer communication systems. | |
650 | 0 | _aComputers. | |
650 | 0 | _aAlgorithms. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aApplication software. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aAlgorithm Analysis and Problem Complexity. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aComputer Communication Networks. |
650 | 2 | 4 | _aComputation by Abstract Devices. |
650 | 2 | 4 | _aComputer Applications. |
700 | 1 |
_aMora, Antonio M. _eeditor. |
|
700 | 1 |
_aSquillero, Giovanni. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319165486 |
830 | 0 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v9028 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-16549-3 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-LNC | ||
942 | _cEBK | ||
999 |
_c57465 _d57465 |