Parallel Problem Solving from Nature PPSN XVII: 17th International Conference, PPSN 2022, Dortmund, Germany, September 1014, 2022, Proceedings, Part I 1st ed. 2022 [Pehme köide]

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, )-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.