Del i serien Studies in Computational Intelligence

High-Performance Simulation-Based Optimization

Häftad, Engelska, 2020

AvThomas Bartz-Beielstein,Bogdan Filipič,Peter Korošec,El-Ghazali Talbi

1 379 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

This book presents the state of the art in designing high-performance algorithms that combine simulation and optimization in order to solve complex optimization problems in science and industry, problems that involve time-consuming simulations and expensive multi-objective function evaluations.

Produktinformation

Utgivningsdatum2020-08-14
Mått155 x 235 x 17 mm
Vikt470 g
FormatHäftad
SpråkEngelska
SerieStudies in Computational Intelligence
Antal sidor291
FörlagSpringer Nature Switzerland AG
ISBN9783030187668

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT
Artificiell intelligens inom Data och IT
Optimering inom Naturvetenskap och teknik

Inﬁll Criteria for Multiobjective Bayesian Optimization.- Many-Objective Optimization with Limited Computing Budget.- Multi-Objective Bayesian Optimization for Engineering Simulation.- Automatic Conﬁguration of Multi-Objective Optimizers and Multi-Objective Conﬁguration.- Optimization and Visualization in Many-Objective Space Trajectory Design.- Simulation Optimization through Regression or Kriging Metamodels.- Towards Better Integration of Surrogate Models and Optimizers.- Surrogate-Assisted Evolutionary Optimization of Large Problems.- Overview and Comparison of Gaussian Process-Based Surrogate Models for Mixed Continuous and Discrete Variables: Application on Aerospace Design Problems.- Open Issues in Surrogate-Assisted Optimization.- A Parallel Island Model for Hypervolume-Based Many-Objective Optimization.- Many-Core Branch-and-Bound for GPU Accelerators and MIC Coprocessors.