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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 518.1
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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 1st ed. 2014.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2014.
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|a XXVIII, 969 p. 336 illus.
|b online resource.
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|a text
|b txt
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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 Theoretical Computer Science and General Issues,
|x 2512-2029 ;
|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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|a Algorithms.
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|a Artificial intelligence.
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|a Pattern recognition systems.
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|a Computer networks .
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|a Computer science.
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|a Application software.
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|a Algorithms.
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|a Artificial Intelligence.
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|a Automated Pattern Recognition.
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|a Computer Communication Networks.
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|a Theory of Computation.
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|a Computer and Information Systems Applications.
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|a Esparcia-Alcázar, Anna I.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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1 |
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|a Mora, Antonio M.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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710 |
2 |
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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776 |
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|i Printed edition:
|z 9783662455241
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776 |
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|i Printed edition:
|z 9783662455227
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830 |
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|a Theoretical Computer Science and General Issues,
|x 2512-2029 ;
|v 8602
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856 |
4 |
0 |
|u https://doi.uam.elogim.com/10.1007/978-3-662-45523-4
|z Texto Completo
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|a ZDB-2-SCS
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|a ZDB-2-SXCS
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|a ZDB-2-LNC
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|a Computer Science (SpringerNature-11645)
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950 |
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|a Computer Science (R0) (SpringerNature-43710)
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