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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

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods
  3. Altmetric Badge
    Chapter 2 Improving Nevergrad’s Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration
  4. Altmetric Badge
    Chapter 3 Non-elitist Selection Can Improve the Performance of Irace
  5. Altmetric Badge
    Chapter 4 Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features
  6. Altmetric Badge
    Chapter 5 A Systematic Approach to Analyze the Computational Cost of Robustness in Model-Assisted Robust Optimization
  7. Altmetric Badge
    Chapter 6 Adaptive Function Value Warping for Surrogate Model Assisted Evolutionary Optimization
  8. Altmetric Badge
    Chapter 7 Efficient Approximation of Expected Hypervolume Improvement Using Gauss-Hermite Quadrature
  9. Altmetric Badge
    Chapter 8 Finding Knees in Bayesian Multi-objective Optimization
  10. Altmetric Badge
    Chapter 9 High Dimensional Bayesian Optimization with Kernel Principal Component Analysis
  11. Altmetric Badge
    Chapter 10 Single Interaction Multi-Objective Bayesian Optimization
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    Chapter 11 Surrogate-Assisted LSHADE Algorithm Utilizing Recursive Least Squares Filter
  13. Altmetric Badge
    Chapter 12 Towards Efficient Multiobjective Hyperparameter Optimization: A Multiobjective Multi-fidelity Bayesian Optimization and Hyperband Algorithm
  14. Altmetric Badge
    Chapter 13 A Continuous Optimisation Benchmark Suite from Neural Network Regression
  15. Altmetric Badge
    Chapter 14 BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems
  16. Altmetric Badge
    Chapter 15 Evolutionary Approaches to Improving the Layouts of Instance-Spaces
  17. Altmetric Badge
    Chapter 16 A Novelty-Search Approach to Filling an Instance-Space with Diverse and Discriminatory Instances for the Knapsack Problem
  18. Altmetric Badge
    Chapter 17 Co-evolutionary Diversity Optimisation for the Traveling Thief Problem
  19. Altmetric Badge
    Chapter 18 Computing High-Quality Solutions for the Patient Admission Scheduling Problem Using Evolutionary Diversity Optimisation
  20. Altmetric Badge
    Chapter 19 Cooperative Multi-agent Search on Endogenously-Changing Fitness Landscapes
  21. Altmetric Badge
    Chapter 20 Evolutionary Algorithm for Vehicle Routing with Diversity Oscillation Mechanism
  22. Altmetric Badge
    Chapter 21 Evolutionary Algorithms for Limiting the Effect of Uncertainty for the Knapsack Problem with Stochastic Profits
  23. Altmetric Badge
    Chapter 22 Self-adaptation via Multi-objectivisation: An Empirical Study
  24. Altmetric Badge
    Chapter 23 The Combined Critical Node and Edge Detection Problem. An Evolutionary Approach
  25. Altmetric Badge
    Chapter 24 Attention-Based Genetic Algorithm for Adversarial Attack in Natural Language Processing
  26. Altmetric Badge
    Chapter 25 Deep Reinforcement Learning with Two-Stage Training Strategy for Practical Electric Vehicle Routing Problem with Time Windows
  27. Altmetric Badge
    Chapter 26 Evolving Through the Looking Glass: Learning Improved Search Spaces with Variational Autoencoders
  28. Altmetric Badge
    Chapter 27 Generalization and Computation for Policy Classes of Generative Adversarial Imitation Learning
  29. Altmetric Badge
    Chapter 28 Generative Models over Neural Controllers for Transfer Learning
  30. Altmetric Badge
    Chapter 29 HVC-Net: Deep Learning Based Hypervolume Contribution Approximation
  31. Altmetric Badge
    Chapter 30 Multi-objective Evolutionary Ensemble Pruning Guided by Margin Distribution
  32. Altmetric Badge
    Chapter 31 Revisiting Attention-Based Graph Neural Networks for Graph Classification
  33. Altmetric Badge
    Chapter 32 Robust Neural Network Pruning by Cooperative Coevolution
  34. Altmetric Badge
    Chapter 33 SemiGraphFL: Semi-supervised Graph Federated Learning for Graph Classification
  35. Altmetric Badge
    Chapter 34 Evolutionary Design of Reduced Precision Preprocessor for Levodopa-Induced Dyskinesia Classifier
  36. Altmetric Badge
    Chapter 35 In-Materio Extreme Learning Machines
  37. Altmetric Badge
    Chapter 36 On the Impact of the Duration of Evaluation Episodes on the Evolution of Adaptive Robots
  38. Altmetric Badge
    Chapter 37 Analysing the Fitness Landscape Rotation for Combinatorial Optimisation
  39. Altmetric Badge
    Chapter 38 Analysis of Search Landscape Samplers for Solver Performance Prediction on a University Timetabling Problem
  40. Altmetric Badge
    Chapter 39 Fractal Dimension and Perturbation Strength: A Local Optima Networks View
  41. Altmetric Badge
    Chapter 40 HPO $$\times $$ × ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis
  42. Altmetric Badge
    Chapter 41 Increasing the Diversity of Benchmark Function Sets Through Affine Recombination
  43. Altmetric Badge
    Chapter 42 Neural Architecture Search: A Visual Analysis
Attention for Chapter 2: Improving Nevergrad’s Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration
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Chapter title
Improving Nevergrad’s Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration
Chapter number 2
Book title
Parallel Problem Solving from Nature – PPSN XVII
Published in
arXiv, September 2022
DOI 10.1007/978-3-031-14714-2_2
Book ISBNs
978-3-03-114713-5, 978-3-03-114714-2
Authors

Risto Trajanov, Ana Nikolikj, Gjorgjina Cenikj, Fabien Teytaud, Mathurin Videau, Olivier Teytaud, Tome Eftimov, Manuel López-Ibáñez, Carola Doerr, Trajanov, Risto, Nikolikj, Ana, Cenikj, Gjorgjina, Teytaud, Fabien, Videau, Mathurin, Teytaud, Olivier, Eftimov, Tome, López-Ibáñez, Manuel, Doerr, Carola

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This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 September 2022.
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