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ORCID17th PPSN 2022: Dortmund, Germany - Part I
- Günter Rudolph
, Anna V. Kononova, Hernán E. Aguirre, Pascal Kerschke, Gabriela Ochoa, Tea Tusar:
Parallel Problem Solving from Nature - PPSN XVII - 17th International Conference, PPSN 2022, Dortmund, Germany, September 10-14, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13398, Springer 2022, ISBN 978-3-031-14713-5
Automated Algorithm Selection and Configuration
- Raphael Patrick Prager, Moritz Vinzent Seiler, Heike Trautmann, Pascal Kerschke:
Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods. 3-17 - Risto Trajanov, Ana Nikolikj, Gjorgjina Cenikj, Fabien Teytaud, Mathurin Videau, Olivier Teytaud, Tome Eftimov, Manuel López-Ibáñez, Carola Doerr:
Improving Nevergrad's Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration. 18-31 - Furong Ye, Diederick Vermetten, Carola Doerr, Thomas Bäck:
Non-elitist Selection Can Improve the Performance of Irace. 32-45 - Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr:
Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features. 46-60
Bayesian- and Surrogate-Assisted Optimization
- Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck:
A Systematic Approach to Analyze the Computational Cost of Robustness in Model-Assisted Robust Optimization. 63-75 - Amir Abbasnejad, Dirk V. Arnold:
Adaptive Function Value Warping for Surrogate Model Assisted Evolutionary Optimization. 76-89 - Alma A. M. Rahat, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen:
Efficient Approximation of Expected Hypervolume Improvement Using Gauss-Hermite Quadrature. 90-103 - Arash Heidari, Jixiang Qing, Sebastian Rojas-Gonzalez, Jürgen Branke, Tom Dhaene, Ivo Couckuyt:
Finding Knees in Bayesian Multi-objective Optimization. 104-117 - Kirill Antonov, Elena Raponi, Hao Wang, Carola Doerr:
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis. 118-131 - Juan Ungredda, Jürgen Branke, Mariapia Marchi, Teresa Montrone:
Single Interaction Multi-Objective Bayesian Optimization. 132-145 - Mateusz Zaborski, Jacek Mandziuk:
Surrogate-Assisted LSHADE Algorithm Utilizing Recursive Least Squares Filter. 146-159 - Zefeng Chen, Yuren Zhou, Zhengxin Huang, Xiaoyun Xia:
Towards Efficient Multiobjective Hyperparameter Optimization: A Multiobjective Multi-fidelity Bayesian Optimization and Hyperband Algorithm. 160-174
Benchmarking and Performance Measures
- Katherine M. Malan, Christopher W. Cleghorn:
A Continuous Optimisation Benchmark Suite from Neural Network Regression. 177-191 - Jonathan Heins, Jeroen Rook, Lennart Schäpermeier, Pascal Kerschke, Jakob Bossek, Heike Trautmann:
BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems. 192-206 - Kevin Sim, Emma Hart:
Evolutionary Approaches to Improving the Layouts of Instance-Spaces. 207-219
Combinatorial Optimization
- Alejandro Marrero, Eduardo Segredo, Coromoto León, Emma Hart:
A Novelty-Search Approach to Filling an Instance-Space with Diverse and Discriminatory Instances for the Knapsack Problem. 223-236 - Adel Nikfarjam, Aneta Neumann, Jakob Bossek, Frank Neumann:
Co-evolutionary Diversity Optimisation for the Traveling Thief Problem. 237-249 - Adel Nikfarjam, Amirhossein Moosavi, Aneta Neumann, Frank Neumann:
Computing High-Quality Solutions for the Patient Admission Scheduling Problem Using Evolutionary Diversity Optimisation. 250-264 - Chin Woei Lim, Richard Allmendinger, Joshua D. Knowles, Ayesha AlHosani, Mercedes Bleda:
Cooperative Multi-agent Search on Endogenously-Changing Fitness Landscapes. 265-278 - Piotr Cybula, Andrzej Jaszkiewicz, Przemyslaw Pelka, Marek Rogalski, Piotr Sielski:
Evolutionary Algorithm for Vehicle Routing with Diversity Oscillation Mechanism. 279-293 - Aneta Neumann, Yue Xie, Frank Neumann:
Evolutionary Algorithms for Limiting the Effect of Uncertainty for the Knapsack Problem with Stochastic Profits. 294-307 - Xiaoyu Qin, Per Kristian Lehre:
Self-adaptation via Multi-objectivisation: An Empirical Study. 308-323 - Tamás Képes, Noémi Gaskó, Géza Vekov:
The Combined Critical Node and Edge Detection Problem. An Evolutionary Approach. 324-338
(Evolutionary) Machine Learning and Neuroevolution
- Shasha Zhou, Ke Li, Geyong Min:
Attention-Based Genetic Algorithm for Adversarial Attack in Natural Language Processing. 341-355 - Jinbiao Chen, Huanhuan Huang, Zizhen Zhang, Jiahai Wang:
Deep Reinforcement Learning with Two-Stage Training Strategy for Practical Electric Vehicle Routing Problem with Time Windows. 356-370 - Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Tran:
Evolving Through the Looking Glass: Learning Improved Search Spaces with Variational Autoencoders. 371-384 - Yirui Zhou, Yangchun Zhang, Xiaowei Liu, Wanying Wang, Zhengping Che, Zhiyuan Xu, Jian Tang, Yaxin Peng:
Generalization and Computation for Policy Classes of Generative Adversarial Imitation Learning. 385-399 - James Butterworth, Rahul Savani, Karl Tuyls:
Generative Models over Neural Controllers for Transfer Learning. 400-413 - Ke Shang, Weiduo Liao, Hisao Ishibuchi:
HVC-Net: Deep Learning Based Hypervolume Contribution Approximation. 414-426 - Yu-Chang Wu, Yi-Xiao He, Chao Qian, Zhi-Hua Zhou:
Multi-objective Evolutionary Ensemble Pruning Guided by Margin Distribution. 427-441 - Ye Tao, Ying Li, Zhonghai Wu:
Revisiting Attention-Based Graph Neural Networks for Graph Classification. 442-458 - Jia-Liang Wu, Haopu Shang, Wenjing Hong, Chao Qian:
Robust Neural Network Pruning by Cooperative Coevolution. 459-473 - Ye Tao, Ying Li, Zhonghai Wu:
SemiGraphFL: Semi-supervised Graph Federated Learning for Graph Classification. 474-487
Evolvable Hardware and Evolutionary Robotics
- Martin Hurta, Michaela Drahosova, Vojtech Mrazek:
Evolutionary Design of Reduced Precision Preprocessor for Levodopa-Induced Dyskinesia Classifier. 491-504 - Benedict A. H. Jones, Noura Al Moubayed, Dagou A. Zeze, Chris Groves:
In-Materio Extreme Learning Machines. 505-519 - Larissa Gremelmaier Rosa, Vitor Hugo Homem, Stefano Nolfi, Jônata Tyska Carvalho:
On the Impact of the Duration of Evaluation Episodes on the Evolution of Adaptive Robots. 520-529
Fitness Landscape Modeling and Analysis
- Joan Alza, Mark Bartlett, Josu Ceberio, John A. W. McCall:
Analysing the Fitness Landscape Rotation for Combinatorial Optimisation. 533-547 - Thomas Feutrier, Marie-Eléonore Kessaci, Nadarajen Veerapen:
Analysis of Search Landscape Samplers for Solver Performance Prediction on a University Timetabling Problem. 548-561 - Sarah L. Thomson, Gabriela Ochoa, Sébastien Vérel:
Fractal Dimension and Perturbation Strength: A Local Optima Networks View. 562-574 - Lennart Schneider, Lennart Schäpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann, Pascal Kerschke:
HPO ˟ ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis. 575-589 - Konstantin Dietrich, Olaf Mersmann:
Increasing the Diversity of Benchmark Function Sets Through Affine Recombination. 590-602 - Gabriela Ochoa, Nadarajen Veerapen:
Neural Architecture Search: A Visual Analysis. 603-615
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