PPSN (1)

Keyphrases

Publications

2022

Arash Heidari, Jixiang Qing, Sebastian Rojas-Gonzalez, Jürgen Branke, Tom Dhaene, Ivo Couckuyt
Finding Knees in Bayesian Multi-objective Optimization. PPSN (1) (2022)
Benedict. A. H. Jones, Noura Al Moubayed, Dagou A. Zeze, Chris Groves
In-Materio Extreme Learning Machines. PPSN (1) (2022)
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. PPSN (1) (2022)
Ye Tao, Ying Li, Zhonghai Wu
SemiGraphFL: Semi-supervised Graph Federated Learning for Graph Classification. PPSN (1) (2022)
Jia-Liang Wu, Haopu Shang, Wenjing Hong, Chao Qian
Robust Neural Network Pruning by Cooperative Coevolution. PPSN (1) (2022)
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. PPSN (1) (2022)
Martin Hurta, Michaela Drahosova, Vojtech Mrazek
Evolutionary Design of Reduced Precision Preprocessor for Levodopa-Induced Dyskinesia Classifier. PPSN (1) (2022)
Thomas Feutrier, Marie-Eléonore Kessaci, Nadarajen Veerapen
Analysis of Search Landscape Samplers for Solver Performance Prediction on a University Timetabling Problem. PPSN (1) (2022)
Kevin Sim, Emma Hart
Evolutionary Approaches to Improving the Layouts of Instance-Spaces. PPSN (1) (2022)
Jonathan Heins, Jeroen Rook, Lennart Schäpermeier, Pascal Kerschke, Jakob Bossek, Heike Trautmann
BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems. PPSN (1) (2022)
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. PPSN (1) (2022)
Katherine M. Malan, Christopher W. Cleghorn
A Continuous Optimisation Benchmark Suite from Neural Network Regression. PPSN (1) (2022)
Furong Ye, Diederick Vermetten, Carola Doerr, Thomas Bäck
Non-elitist Selection Can Improve the Performance of Irace. PPSN (1) (2022)
Aneta Neumann, Yue Xie, Frank Neumann
Evolutionary Algorithms for Limiting the Effect of Uncertainty for the Knapsack Problem with Stochastic Profits. PPSN (1) (2022)
Adel Nikfarjam, Aneta Neumann, Jakob Bossek, Frank Neumann
Co-evolutionary Diversity Optimisation for the Traveling Thief Problem. PPSN (1) (2022)
Zefeng Chen, Yuren Zhou, Zhengxin Huang, Xiaoyun Xia
Towards Efficient Multiobjective Hyperparameter Optimization: A Multiobjective Multi-fidelity Bayesian Optimization and Hyperband Algorithm. PPSN (1) (2022)
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. PPSN (1) (2022)
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. PPSN (1) (2022)
Mateusz Zaborski, Jacek Mandziuk
Surrogate-Assisted LSHADE Algorithm Utilizing Recursive Least Squares Filter. PPSN (1) (2022)
Kirill Antonov, Elena Raponi, Hao Wang, Carola Doerr
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis. PPSN (1) (2022)
Ye Tao, Ying Li, Zhonghai Wu
Revisiting Attention-Based Graph Neural Networks for Graph Classification. PPSN (1) (2022)
Tamás Képes, Noémi Gaskó, Géza Vekov
The Combined Critical Node and Edge Detection Problem. An Evolutionary Approach. PPSN (1) (2022)
James Butterworth, Rahul Savani, Karl Tuyls
Generative Models over Neural Controllers for Transfer Learning. PPSN (1) (2022)
Gabriela Ochoa, Nadarajen Veerapen
Neural Architecture Search: A Visual Analysis. PPSN (1) (2022)
Alma A. M. Rahat, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen
Efficient Approximation of Expected Hypervolume Improvement Using Gauss-Hermite Quadrature. PPSN (1) (2022)
Konstantin Dietrich, Olaf Mersmann
Increasing the Diversity of Benchmark Function Sets Through Affine Recombination. PPSN (1) (2022)
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. PPSN (1) (2022)
Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Tran
Evolving Through the Looking Glass: Learning Improved Search Spaces with Variational Autoencoders. PPSN (1) (2022)
Ke Shang, Weiduo Liao, Hisao Ishibuchi
HVC-Net: Deep Learning Based Hypervolume Contribution Approximation. PPSN (1) (2022)
Shasha Zhou, Ke Li, Geyong Min
Attention-Based Genetic Algorithm for Adversarial Attack in Natural Language Processing. PPSN (1) (2022)
Yu-Chang Wu, Yi-Xiao He, Chao Qian, Zhi-Hua Zhou
Multi-objective Evolutionary Ensemble Pruning Guided by Margin Distribution. PPSN (1) (2022)
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. PPSN (1) (2022)
Adel Nikfarjam, Amirhossein Moosavi, Aneta Neumann, Frank Neumann
Computing High-Quality Solutions for the Patient Admission Scheduling Problem Using Evolutionary Diversity Optimisation. PPSN (1) (2022)
Amir Abbasnejad, Dirk V. Arnold
Adaptive Function Value Warping for Surrogate Model Assisted Evolutionary Optimization. PPSN (1) (2022)
Joan Alza, Mark Bartlett, Josu Ceberio, John A. W. McCall
Analysing the Fitness Landscape Rotation for Combinatorial Optimisation. PPSN (1) (2022)
Juan Ungredda, Jürgen Branke, Mariapia Marchi, Teresa Montrone
Single Interaction Multi-Objective Bayesian Optimization. PPSN (1) (2022)
Xiaoyu Qin, Per Kristian Lehre
Self-adaptation via Multi-objectivisation: An Empirical Study. PPSN (1) (2022)
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. PPSN (1) (2022)
Piotr Cybula, Andrzej Jaszkiewicz, Przemyslaw Pelka, Marek Rogalski, Piotr Sielski
Evolutionary Algorithm for Vehicle Routing with Diversity Oscillation Mechanism. PPSN (1) (2022)
Chin Woei Lim, Richard Allmendinger, Joshua D. Knowles, Ayesha AlHosani, Mercedes Bleda
Cooperative Multi-agent Search on Endogenously-Changing Fitness Landscapes. PPSN (1) (2022)
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. PPSN (1) (2022)
Sarah L. Thomson, Gabriela Ochoa, Sébastien Vérel
Fractal Dimension and Perturbation Strength: A Local Optima Networks View. PPSN (1) (2022)

volume 13398, 2022

Parallel Problem Solving from Nature - PPSN XVII - 17th International Conference, PPSN 2022, Dortmund, Germany, September 10-14, 2022, Proceedings, Part I PPSN (1) 13398 (2022)

2020

volume 12269, 2020

Parallel Problem Solving from Nature - PPSN XVI - 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I PPSN (1) 12269 (2020)