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Parallel Problem Solving from Nature – PPSN XVII

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Cover of 'Parallel Problem Solving from Nature – PPSN XVII'

Table of Contents

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    Book Overview
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    Chapter 1 Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods
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    Chapter 2 Improving Nevergrad’s Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration
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    Chapter 3 Non-elitist Selection Can Improve the Performance of Irace
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    Chapter 4 Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features
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    Chapter 5 A Systematic Approach to Analyze the Computational Cost of Robustness in Model-Assisted Robust Optimization
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    Chapter 6 Adaptive Function Value Warping for Surrogate Model Assisted Evolutionary Optimization
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    Chapter 7 Efficient Approximation of Expected Hypervolume Improvement Using Gauss-Hermite Quadrature
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    Chapter 8 Finding Knees in Bayesian Multi-objective Optimization
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    Chapter 9 High Dimensional Bayesian Optimization with Kernel Principal Component Analysis
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    Chapter 10 Single Interaction Multi-Objective Bayesian Optimization
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    Chapter 11 Surrogate-Assisted LSHADE Algorithm Utilizing Recursive Least Squares Filter
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    Chapter 12 Towards Efficient Multiobjective Hyperparameter Optimization: A Multiobjective Multi-fidelity Bayesian Optimization and Hyperband Algorithm
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    Chapter 13 A Continuous Optimisation Benchmark Suite from Neural Network Regression
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    Chapter 14 BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems
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    Chapter 15 Evolutionary Approaches to Improving the Layouts of Instance-Spaces
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    Chapter 16 A Novelty-Search Approach to Filling an Instance-Space with Diverse and Discriminatory Instances for the Knapsack Problem
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    Chapter 17 Co-evolutionary Diversity Optimisation for the Traveling Thief Problem
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    Chapter 18 Computing High-Quality Solutions for the Patient Admission Scheduling Problem Using Evolutionary Diversity Optimisation
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    Chapter 19 Cooperative Multi-agent Search on Endogenously-Changing Fitness Landscapes
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    Chapter 20 Evolutionary Algorithm for Vehicle Routing with Diversity Oscillation Mechanism
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    Chapter 21 Evolutionary Algorithms for Limiting the Effect of Uncertainty for the Knapsack Problem with Stochastic Profits
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    Chapter 22 Self-adaptation via Multi-objectivisation: An Empirical Study
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    Chapter 23 The Combined Critical Node and Edge Detection Problem. An Evolutionary Approach
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    Chapter 24 Attention-Based Genetic Algorithm for Adversarial Attack in Natural Language Processing
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    Chapter 25 Deep Reinforcement Learning with Two-Stage Training Strategy for Practical Electric Vehicle Routing Problem with Time Windows
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    Chapter 26 Evolving Through the Looking Glass: Learning Improved Search Spaces with Variational Autoencoders
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    Chapter 27 Generalization and Computation for Policy Classes of Generative Adversarial Imitation Learning
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    Chapter 28 Generative Models over Neural Controllers for Transfer Learning
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    Chapter 29 HVC-Net: Deep Learning Based Hypervolume Contribution Approximation
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    Chapter 30 Multi-objective Evolutionary Ensemble Pruning Guided by Margin Distribution
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    Chapter 31 Revisiting Attention-Based Graph Neural Networks for Graph Classification
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    Chapter 32 Robust Neural Network Pruning by Cooperative Coevolution
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    Chapter 33 SemiGraphFL: Semi-supervised Graph Federated Learning for Graph Classification
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    Chapter 34 Evolutionary Design of Reduced Precision Preprocessor for Levodopa-Induced Dyskinesia Classifier
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    Chapter 35 In-Materio Extreme Learning Machines
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    Chapter 36 On the Impact of the Duration of Evaluation Episodes on the Evolution of Adaptive Robots
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    Chapter 37 Analysing the Fitness Landscape Rotation for Combinatorial Optimisation
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    Chapter 38 Analysis of Search Landscape Samplers for Solver Performance Prediction on a University Timetabling Problem
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    Chapter 39 Fractal Dimension and Perturbation Strength: A Local Optima Networks View
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    Chapter 40 HPO $$\times $$ × ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis
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    Chapter 41 Increasing the Diversity of Benchmark Function Sets Through Affine Recombination
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    Chapter 42 Neural Architecture Search: A Visual Analysis
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Title
Parallel Problem Solving from Nature – PPSN XVII
Published by
Springer International Publishing, August 2022
DOI 10.1007/978-3-031-14714-2
ISBNs
978-3-03-114713-5, 978-3-03-114714-2
Editors

Rudolph, Günter, Kononova, Anna V., Aguirre, Hernán, Kerschke, Pascal, Ochoa, Gabriela, Tušar, Tea

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