Noisy Optimization With Evolution Strategies
Description
Noise is a common factor in most real-world optimization problems. Sources of noise can include physical measurement limitations, stochastic simulation models, incomplete sampling of large spaces and human-computer interaction. Evolutionary algorithms are general, nature-inspired heuristics for numerical search and optimization that are frequently observed to be particularly robust with regard to the effects of noise.
Keywords
ComputersArtificial IntelligenceComputer ScienceProgrammingAlgorithmsMathematicsLinear & Nonlinear ProgrammingMathematical AnalysisOptimizationScienceAcoustics & Sound
2002Book
Author(s)Dirk V. Arnold
PublisherSpringer Science & Business Media
ISBN9781402071058
LanguageEnglish
