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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).
List of contents
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.
Summary
The
two volumes LNCS 9597 and 9598 constitute the refereed conference proceedings
of the 19th European Conference on the Applications of Evolutionary Computation,
EvoApplications 2016, held in Porto, Portugal, in March/April 2016, co-located
with the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART.
The
57 revised full papers presented together with 17 poster papers were carefully
reviewed and selected from 115 submissions. EvoApplications 2016 consisted of
the following 13 tracks: EvoBAFIN (natural computing methods in business
analytics and finance), EvoBIO (evolutionary computation, machine learning and
data mining in computational biology), 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), 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
robotics), and EvoSTOC (evolutionary algorithms in stochastic and dynamic
environments).
