E-Book, Englisch, 329 Seiten, eBook
Squillero / Burelli Applications of Evolutionary Computation
1. Auflage 2016
ISBN: 978-3-319-31153-1
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
19th European Conference, EvoApplications 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings, Part II
E-Book, Englisch, 329 Seiten, eBook
Reihe: Theoretical Computer Science and General Issues
ISBN: 978-3-319-31153-1
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
EvoNUM: Local Fitness Meta-Models with Nearest Neighbor Regression.- Validating
the Grid Diversity Operator: an Infusion Technique for Diversity Maintenance in
Population-Based Optimisation Algorithms.- Benchmarking Languages for Evolutionary
Algorithms.- On the Closest Averaged Hausdorff Archive for a Circularly Convex
Pareto Front.- Evolving Smoothing Kernels for Global Optimization.- EvoPAR: Implementing
Parallel Differential Evolution on Spark.- ECJ+HADOOP: An Easy Way to Deploy Massive
Runs of Evolutionary Algorithm.- Addressing High Dimensional Multi-Objective Optimization
Problems by Coevolutionary Islands with Overlapping Search Spaces.- Compilable
Phenotypes: 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: Leveraging
Online Racing and Population Cloning in Evolutionary Multirobot Systems.- Multi-Agent
Behavior-Based Policy Transfer.- On-line Evolution of Foraging Behaviour in a
Population of Real Robots.- Hybrid Control for a Real Swarm Robotics System in
an Intruder Detection Task.- EvoSTOC: Direct Memory Schemes for Population-Based
Incremental Learning in Cyclically Changing Environments.- Simheuristics for
the Multiobjective Nondeterministic Firefighter Problem in a Time-Constrained
Setting.- Benchmarking Dynamic Three-Dimensional Bin Packing Problems Using Discrete-Event
Simulation.- Genetic Programming Algorithms for Dynamic Environments.- A
Memory-Based NSGA-II Algorithm for Dynamic Multi-Objective Optimization
Problems.- Hybrid Dynamic Resampling Algorithms for Evolutionary
Multi-objective Optimization of Invariant-Noise Problems.