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Parallel Problem Solving from Nature – PPSN XVII

Overview of attention for book
Cover of 'Parallel Problem Solving from Nature – PPSN XVII'

Table of Contents

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    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
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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
  42. Altmetric Badge
    Chapter 41 Increasing the Diversity of Benchmark Function Sets Through Affine Recombination
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    Chapter 42 Neural Architecture Search: A Visual Analysis
Attention for Chapter 8: Finding Knees in Bayesian Multi-objective Optimization
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Chapter title
Finding Knees in Bayesian Multi-objective Optimization
Chapter number 8
Book title
Parallel Problem Solving from Nature – PPSN XVII
Published in
Lecture notes in computer science, January 2022
DOI 10.1007/978-3-031-14714-2_8
Book ISBNs
978-3-03-114713-5, 978-3-03-114714-2
Authors

Heidari, Arash, Qing, Jixiang, Rojas Gonzalez, Sebastian, Branke, Jürgen, Dhaene, Tom, Couckuyt, Ivo

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 1%
Germany 1 1%
Brazil 1 1%
Spain 1 1%
Japan 1 1%
Poland 1 1%
Unknown 71 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 23%
Student > Master 16 21%
Student > Doctoral Student 7 9%
Professor 7 9%
Researcher 6 8%
Other 15 19%
Unknown 8 10%
Readers by discipline Count As %
Engineering 25 32%
Computer Science 24 31%
Business, Management and Accounting 7 9%
Mathematics 2 3%
Arts and Humanities 1 1%
Other 6 8%
Unknown 12 16%
Attention Score in Context

Attention Score in Context

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 09 September 2022.
All research outputs
#15,809,727
of 23,479,361 outputs
Outputs from Lecture notes in computer science
#4,663
of 8,129 outputs
Outputs of similar age
#284,401
of 508,250 outputs
Outputs of similar age from Lecture notes in computer science
#9
of 12 outputs
Altmetric has tracked 23,479,361 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,129 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 508,250 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.