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04350nam a22005775i 4500 |
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978-3-662-45523-4 |
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20151204180831.0 |
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141128s2014 gw | s |||| 0|eng d |
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|a 9783662455234
|9 978-3-662-45523-4
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|a 10.1007/978-3-662-45523-4
|2 doi
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|a QA76.9.A43
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|a UMB
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|a COM051300
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|a Applications of Evolutionary Computation
|h [electronic resource] :
|b 17th European Conference, EvoApplications 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers /
|c edited by Anna I. Esparcia-Alcázar, Antonio M. Mora.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2014.
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| 300 |
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|a XXVIII, 969 p. 336 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
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|a online resource
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|a text file
|b PDF
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 8602
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|a 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 -- EC and related techniques in bioinformatics and computational biology.
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|a This book constitutes the thoroughly refereed post-conference proceedings of the International Conference on the Applications of Evolutionary Computation, EvoApplications 2014, held in Granada, Spain, in April 2014, colocated with the Evo* 2014 events EuroGP, EvoCOP, and EvoMUSART. The 79 revised full papers presented were carefully reviewed and selected from 128 submissions. EvoApplications 2014 consisted of the following 13 tracks: 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), EvoSTOC (evolutionary algorithms in stochastic and dynamic environments), and EvoBio (EC and related techniques in bioinformatics and computational biology).
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| 650 |
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|a Computer science.
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| 650 |
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|a Computer communication systems.
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| 650 |
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|a Computers.
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| 650 |
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|a Algorithms.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Pattern recognition.
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| 650 |
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|a Application software.
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| 650 |
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|a Computer Science.
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| 650 |
2 |
4 |
|a Algorithm Analysis and Problem Complexity.
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| 650 |
2 |
4 |
|a Artificial Intelligence (incl. Robotics).
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| 650 |
2 |
4 |
|a Pattern Recognition.
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| 650 |
2 |
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|a Computer Communication Networks.
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| 650 |
2 |
4 |
|a Computation by Abstract Devices.
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| 650 |
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|a Computer Applications.
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| 700 |
1 |
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|a Esparcia-Alcázar, Anna I.
|e editor.
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| 700 |
1 |
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|a Mora, Antonio M.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9783662455227
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| 830 |
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 8602
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| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-662-45523-4
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-SCS
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| 912 |
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|a ZDB-2-LNC
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| 950 |
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|a Computer Science (Springer-11645)
|
