Parallel Problem Solving from Nature - PPSN XVII : 17th International Conference, PPSN 2022, Dortmund, Germany, September 10-14, 2022, Proceedings, Part I / edited by Günter Rudolph, Anna V. Kononova, Hernán Aguirre, Pascal Kerschke, Gabriela Ochoa, Tea Tušar.

Format:

Book

Contributor:

Rudolph, Günter, Editor.

Kononova, Anna V., Editor.

Aguirre, Hernán., Editor.

Kerschke, Pascal., Editor.

Ochoa, Gabriela, Editor.

Tušar, Tea., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in computer science 1611-3349 ; 13398

Lecture Notes in Computer Science, 1611-3349 ; 13398

Language:

English

Subjects (All):

Computer science.

Application software.

Artificial intelligence.

Machine learning.

Computer science-Mathematics.

Social sciences-Data processing.

Theory of Computation.

Computer and Information Systems Applications.

Artificial Intelligence.

Machine Learning.

Mathematics of Computing.

Computer Application in Social and Behavioral Sciences.

Local Subjects:

Theory of Computation.

Computer and Information Systems Applications.

Artificial Intelligence.

Machine Learning.

Mathematics of Computing.

Computer Application in Social and Behavioral Sciences.

Physical Description:

1 online resource (XXIV, 619 pages) : 202 illustrations, 189 illustrations in color.

Edition:

1st ed. 2022.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2022.

System Details:

text file PDF

Summary:

This two-volume set LNCS 13398 and LNCS 13399 constitutes the refereed proceedings of the 17th International Conference on Parallel Problem Solving from Nature, PPSN 2022, held in Dortmund, Germany, in September 2022. The 87 revised full papers were carefully reviewed and selected from numerous submissions. The conference presents a study of computing methods derived from natural models. Amorphous Computing, Artificial Life, Artificial Ant Systems, Artificial Immune Systems, Artificial Neural Networks, Cellular Automata, Evolutionary Computation, Swarm Computing, Self-Organizing Systems, Chemical Computation, Molecular Computation, Quantum Computation, Machine Learning, and Artificial Intelligence approaches using Natural Computing methods are just some of the topics covered in this field.

Contents:

Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods

Improving Nevergrad's Algorithm Selection Wizard NGOpt through Automated Algorithm Configuration

Non-Elitist Selection Can Improve the Performance of Irace

Per-run Algorithm Selection with Warm-starting using Trajectory-based Features

Efficient Approximation of Expected Hypervolume Improvement using Gauss-Hermite Quadrature

A Systematic Approach to Analyze the Computational Cost of Robustness in Model-Assisted Robust Optimization

Adaptive Function Value Warping for Surrogate Model Assisted Evolutionary Optimization

Finding Knees in Bayesian Multi-Objective Optimization

High Dimensional Bayesian Optimization with Kernel Principal Component Analysis

Single Interaction Multi-Objective Bayesian Optimization

Surrogate-assisted LSHADE algorithm utilizing Recursive Least Squares filter

Towards Efficient Multiobjective Hyperparameter Optimization: A Multiobjective Multi-Fidelity Bayesian Optimization and Hyperband Algorithm

A Continuous Optimisation Benchmark Suite from Neural Network Regression

BBE: Basin-Based Evaluation of Multimodal Multi-Objective Optimization Problems

Evolutionary Approaches to Improving the Layouts of Instance-Spaces

A novelty-search approach to filling an instance-space with diverse and discriminatory instances for the knapsack problem

Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem

Computing High-Quality Solutions for the Patient Admission Scheduling Problem using Evolutionary Diversity Optimisation

Cooperative Multi-Agent Search on Endogenously-Changing Fitness Landscapes

Evolutionary Algorithm for Vehicle Routing with Diversity Oscillation Mechanism

Evolutionary Algorithms for Limiting the Effect of Uncertainty for the Knapsack Problem with Stochastic Profits

Self-adaptation via Multi-objectivisation: An Empirical Study

The Combined Critical Node and Edge Detection Problem. An Evolutionary Approach

Attention-Based Genetic Algorithm for Adversarial Attack in Natural Language Processing

Deep Reinforcement Learning with Two-Stage Training Strategy for Practical Electric Vehicle Routing Problem with Time Windows

Evolving Through the Looking Glass: Learning Improved Search Spaces with Variational Autoencoders

Generalization and Computation for Policy Classes of Generative Adversarial Imitation Learning

Generative Models over Neural Controllers for Transfer Learning

HVC-Net: Deep Learning based Hypervolume Contribution Approximation

Multi-objective Evolutionary Ensemble Pruning Guided by Margin Distribution

Revisiting Attention-based Graph Neural Networks for Graph Classification

Robust Neural Network Pruning by Cooperative Coevolution

SemiGraphFL: Semi-Supervised Graph Federated Learning

Evolutionary Design of Reduced Precision Preprocessor for Levodopa-Induced Dyskinesia Classifier

In-Materio Extreme Learning Machines

On the impact of the duration of evaluation episodes on the evolution of adaptive robots

Analysing the Fitness Landscape Rotation for Combinatorial Optimisation

Analysis of Search Landscape Samplers for Solver Performance Prediction on a University Timetabling Problem

Fractal Dimension and Perturbation Strength: A Local Optima Networks View

HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis

Increasing the Diversity of Benchmark Function Sets through Affine Recombination

Neural Architecture Search: A Visual Analysis. - Digging into Semantics: Where do search-based software repair methods search?

Gene-pool Optimal Mixing in Cartesian Genetic Programming

Genetic programming for combining directional changes indicators in international stock markets

Importance-Aware Genetic Programming for Automated Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling

Towards Discrete Phenotypic Recombination in Cartesian Genetic Programming

A general architecture for generating interactive decomposition-based MOEAs

An Exact Inverted Generational Distance for Continuous Pareto Front

Direction Vector Selection for R2-based Hypervolume Contribution Approximation

Do We Really Need to Use Constraint Violation in Constrained Evolutionary Multi-Objective Optimization?

Dynamic Multi-modal Multi-objective Optimization: A Preliminary Study

Fair Feature Selection with a Lexicographic Multi-Objective Genetic Algorithm

Greedy Decremental Quick Hypervolume Subset Selection Algorithms

Hybridizing Hypervolume-based Evolutionary Algorithms and Gradient Descent by Dynamic Resource Allocation

Identifying Stochastically Non-dominated Solutions Using Evolutionary Computation

Large-scale multi-objective influence maximisation with network downscaling

Multi-Objective Evolutionary Algorithm Based on the Linear Assignment Problem and the Hypervolume Approximation using Polar Coordinates (MOEA-LAPCO)

New Solution Creation Operator in MOEA/D for Faster Convergence

Obtaining Smoothly Navigable Approximation Sets in Bi-Objective Multi-Modal Optimization

T-DominO: Exploring Multiple Criteria with Quality-Diversity and the Tournament Dominance Objective

Recombination Weight based Selection in the DTS-CMA-ES

The (1+1)-ES Reliably Overcomes Saddle Points

Collective Learning of Low-Memory Matrix Adaptation for Large-Scale Black-Box Optimization

Evolutionary Time-Use Optimization for Improving Children's Health Outcomes

Iterated Local Search for the eBuses Charging Location Problem

Multi-view clustering of heterogeneous health data: Application to systemic sclerosis

Specification-Driven Evolution of Floor Plan Design

Surrogate-assisted Multi-objective Optimization for Compiler Optimization Sequence Selection

A First Runtime Analysis of the NSGA-II on a Multimodal Problem

Analysis of Quality Diversity Algorithms for the Knapsack Problem

Better Running Time of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) by Using Stochastic Tournament Selection

Escaping Local Optima With Local Search: A Theory-Driven Discussion

Evolutionary Algorithms for Cardinality-Constrained Ising Models

General Univariate Estimation-of-Distribution Algorithms

Population Diversity Leads to Short Running Times of Lexicase Selection

Progress Rate Analysis of Evolution Strategies on the Rastrigin Function: First Results

Running Time Analysis of the (1+1)-EA using Surrogate Models on OneMax and LeadingOnes

Runtime Analysis of Simple Evolutionary Algorithms for the Chance-constrained Makespan Scheduling Problem

Runtime Analysis of the (1+1) EA on Weighted Sums of Transformed Linear Functions

Runtime Analysis of Unbalanced Block-Parallel Evolutionary Algorithms

Self-adjusting Population Sizes for the (1, λ)-EA on Monotone Functions

Theoretical Study of Optimizing Rugged Landscapes with the cGA

Towards Fixed-Target Black-Box Complexity Analysis

Two-Dimensional Drift Analysis: Optimizing Two Functions Simultaneously Can Be Hard.

Other Format:

Printed edition:

ISBN:

978-3-031-14714-2

9783031147142

Access Restriction:

Restricted for use by site license.