Applications of Evolutionary Computation (e-bog) af -
Burelli, Paolo (redaktør)

Applications of Evolutionary Computation e-bog

436,85 DKK (inkl. moms 546,06 DKK)
Thetwo volumes LNCS 9597 and 9598 constitute the refereed conference proceedingsof the 19th European Conference on the Applications of Evolutionary Computation,EvoApplications 2016, held in Porto, Portugal, in March/April 2016, co-locatedwith the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART.The57 revised full papers presented together with 17 poster papers were carefullyreviewed and selected ...
E-bog 436,85 DKK
Forfattere Burelli, Paolo (redaktør)
Forlag Springer
Udgivet 24 marts 2016
Genrer UMB
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9783319311531
Thetwo volumes LNCS 9597 and 9598 constitute the refereed conference proceedingsof the 19th European Conference on the Applications of Evolutionary Computation,EvoApplications 2016, held in Porto, Portugal, in March/April 2016, co-locatedwith the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART.The57 revised full papers presented together with 17 poster papers were carefullyreviewed and selected from 115 submissions. EvoApplications 2016 consisted ofthe following 13 tracks: EvoBAFIN (natural computing methods in businessanalytics and finance), EvoBIO (evolutionary computation, machine learning anddata mining in computational biology), EvoCOMNET (nature-inspired techniquesfor telecommunication networks and other parallel and distributed systems),EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY(evolutionary computation in energy applications), EvoGAMES (bio-inspiredalgorithms in games), EvoIASP (evolutionary computation in image analysis,signal processing, and pattern recognition), EvoINDUSTRY (nature-inspiredtechniques in industrial settings), EvoNUM (bio-inspired algorithms forcontinuous parameter optimization), EvoPAR (parallel implementation ofevolutionary algorithms), EvoRISK (computational intelligence for riskmanagement, security and defence applications), EvoROBOT (evolutionaryrobotics), and EvoSTOC (evolutionary algorithms in stochastic and dynamicenvironments).