TY - BOOK AU - AU - AU - AU - AU - AU - AU - AU - AU - AU - AU - AU - AU - AU - AU - AU - AU - AU - AU - AU - AU - AU - AU - ED - SpringerLink (Online service) TI - Applications of Evolutionary Computation: EvoApplications 2012: EvoCOMNET, EvoCOMPLEX, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoNUM, EvoPAR, EvoRISK, EvoSTIM, and EvoSTOC, Mlaga, Spain, April 11-13, 2012, Proceedings T2 - Lecture Notes in Computer Science, SN - 9783642291784 AV - QA75.5-76.95 U1 - 004.0151 23 PY - 2012/// CY - Berlin, Heidelberg PB - Springer Berlin Heidelberg KW - Computer science KW - Computer Communication Networks KW - Artificial intelligence KW - Computer vision KW - Computer Science KW - Computation by Abstract Devices KW - Programming Techniques KW - Math Applications in Computer Science KW - Image Processing and Computer Vision KW - Artificial Intelligence (incl. Robotics) N1 - ZDB-2-SCS; ZDB-2-LNC N2 - This book constitutes the refereed proceedings of the International Conference on the Applications of Evolutionary Computation, EvoApplications 2012, held in Mlaga, Spain, in April 2012, colocated with the Evo* 2012 events EuroGP, EvoCOP, EvoBIO, and EvoMUSART. The 54 revised full papers presented were carefully reviewed and selected from 90 submissions. EvoApplications 2012 consisted of the following 11 tracks: EvoCOMNET (nature-inspired techniques for telecommunication networks and other parrallel and distributed systems), EvoCOMPLEX (algorithms and complex systems), EvoFIN (evolutionary and natural computation in finance and economics), EvoGAMES (bio-inspired algorithms in games), EvoHOT (bio-inspired heuristics for design automation), EvoIASP (evolutionary computation in image analysis and signal processing), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoRISK (computational intelligence for risk management, security and defense applications), EvoSTIM (nature-inspired techniques in scheduling, planning, and timetabling), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments) UR - http://dx.doi.org/10.1007/978-3-642-29178-4 ER -