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High-Performance Simulation-Based Optimization

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Cover of 'High-Performance Simulation-Based Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 Infill Criteria for Multiobjective Bayesian Optimization
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    Chapter 2 Many-Objective Optimization with Limited Computing Budget
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    Chapter 3 Multi-objective Bayesian Optimization for Engineering Simulation
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    Chapter 4 Automatic Configuration of Multi-objective Optimizers and Multi-objective Configuration
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    Chapter 5 Optimization and Visualization in Many-Objective Space Trajectory Design
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    Chapter 6 Simulation Optimization Through Regression or Kriging Metamodels
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    Chapter 7 Towards Better Integration of Surrogate Models and Optimizers
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    Chapter 8 Surrogate-Assisted Evolutionary Optimization of Large Problems
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    Chapter 9 Overview and Comparison of Gaussian Process-Based Surrogate Models for Mixed Continuous and Discrete Variables: Application on Aerospace Design Problems
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    Chapter 10 Open Issues in Surrogate-Assisted Optimization
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    Chapter 11 A Parallel Island Model for Hypervolume-Based Many-Objective Optimization
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    Chapter 12 Many-Core Branch-and-Bound for GPU Accelerators and MIC Coprocessors
Attention for Chapter 9: Overview and Comparison of Gaussian Process-Based Surrogate Models for Mixed Continuous and Discrete Variables: Application on Aerospace Design Problems
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