Applications of Evolutionary Computation: 19th European Conference, EvoApplications 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings, Part II: Lecture Notes in Computer Science, cartea 9598
Editat de Giovanni Squillero, Paolo Burellien Limba Engleză Paperback – 3 apr 2016
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).
Toate formatele și edițiile | Preț | Express |
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Paperback (2) | 335.36 lei 6-8 săpt. | |
Springer International Publishing – 3 apr 2016 | 335.36 lei 6-8 săpt. | |
Springer International Publishing – 23 mar 2016 | 674.00 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783319311524
ISBN-10: 3319311522
Pagini: 329
Ilustrații: XXVI, 329 p. 94 illus.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.5 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Cham, Switzerland
ISBN-10: 3319311522
Pagini: 329
Ilustrații: XXVI, 329 p. 94 illus.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.5 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Cham, Switzerland
Cuprins
EvoNUM: Local Fitness Meta-Models with Nearest Neighbor Regression.- Validatingthe Grid Diversity Operator: an Infusion Technique for Diversity Maintenance inPopulation-Based Optimisation Algorithms.- Benchmarking Languages for EvolutionaryAlgorithms.- On the Closest Averaged Hausdorff Archive for a Circularly ConvexPareto Front.- Evolving Smoothing Kernels for Global Optimization.- EvoPAR: ImplementingParallel Differential Evolution on Spark.- ECJ+HADOOP: An Easy Way to Deploy MassiveRuns of Evolutionary Algorithm.- Addressing High Dimensional Multi-Objective OptimizationProblems by Coevolutionary Islands with Overlapping Search Spaces.- CompilablePhenotypes: Accelerating the Evaluation of Individuals in Grammatical Evolution.-GPU Accelerated Molecular Docking Simulation with Genetic Algorithms.- EvoRISK:Challenging Anti-virus Through Evolutionary Malware Obfuscation.- EvoROBOT: LeveragingOnline Racing and Population Cloning in Evolutionary Multirobot Systems.- Multi-AgentBehavior-Based Policy Transfer.- On-line Evolution of Foraging Behaviour in aPopulation of Real Robots.- Hybrid Control for a Real Swarm Robotics System inan Intruder Detection Task.- EvoSTOC: Direct Memory Schemes for Population-BasedIncremental Learning in Cyclically Changing Environments.- Simheuristics forthe Multiobjective Nondeterministic Firefighter Problem in a Time-ConstrainedSetting.- Benchmarking Dynamic Three-Dimensional Bin Packing Problems Using Discrete-EventSimulation.- Genetic Programming Algorithms for Dynamic Environments.- AMemory-Based NSGA-II Algorithm for Dynamic Multi-Objective OptimizationProblems.- Hybrid Dynamic Resampling Algorithms for EvolutionaryMulti-objective Optimization of Invariant-Noise Problems.
Caracteristici
Includes supplementary material: sn.pub/extras