| 3 | The (1+1)-ES Reliably Overcomes Saddle Points |
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| Tobias Glasmachers |
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| 5 | SemiGraphFL: A Semi-Supervised Graph Federated Learning Framework for Graph Classification |
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| Ye Tao, Ying Li and Zhonghai Wu |
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| 8 | An Exact Inverted Generational Distance for Continuous Pareto Front |
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| Zihan Wang, Chunyun Xiao and Aimin Zhou |
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| 9 | Multi-view clustering of heterogeneous health data: Application to systemic sclerosis |
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| Adan Jose-Garcia, Julie Jacques, Alexandre Filiot, Julia Hanld, David Launay, Vincent Sobanski and Clarisse Dhaenens |
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| 12 | Specification-Driven Evolution of Floor Plan Design |
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| Katarzyna Grzesiak-Kopeć, Barbara Strug and Grażyna Ślusarczyk |
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| 15 | Two-Dimensional Drift Analysis: Optimizing Two Functions Simultaneously Can Be Hard |
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| Duri Janett and Johannes Lengler |
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| 16 | In-Materio Extreme Learning Machines |
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| Benedict Jones, Noura Al Moubayed, Dagou Zeze and Chris Groves |
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| 17 | A Continuous Optimisation Benchmark Suite from Neural Network Regression |
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| Katherine Malan and Christopher Cleghorn |
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| 22 | Self-adjusting Population Sizes for the $(1, \lambda)$-EA on Monotone Functions |
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| Marc Kaufmann, Maxime Larcher, Johannes Lengler and Xun Zou |
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| 24 | Deep Reinforcement Learning with Two-Stage Training Strategy for Practical Electric Vehicle Routing Problem with Time Windows |
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| Jinbiao Chen, Huanhuan Huang, Zizhen Zhang and Jiahai Wang |
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| 26 | Revisiting Attention-based Graph Neural Networks for Graph Classification |
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| Ye Tao, Ying Li and Zhonghai Wu |
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| 28 | A novelty-search approach to filling an instance-space with diverse and discriminatory instances for the knapsack problem |
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| Alejandro Marrero, Eduardo Segredo, Coromoto Leon and Emma Hart |
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| 29 | Cooperative Search Brings Benefits but Mimicry is Harmful in Complex Business Domains |
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| Brandon Chin Woei Lim, Richard Allmendinger, Joshua Knowles, Ayesha Alhosani and Mercedes Bleda |
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| 30 | Importance-Aware Genetic Programming for Automated Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling |
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| Fangfang Zhang, Yi Mei, Su Nguyen and Mengjie Zhang |
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| 34 | Recombination Weight based Selection in the DST-CMA-ES |
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| Oswin Krause |
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| 38 | Runtime Analysis of the (1+1) EA on Weighted Sums of Transformed Linear Functions |
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| Frank Neumann and Carsten Witt |
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| 41 | Large-scale multi-objective influence maximisation with network downscaling |
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| Elia Cunegatti, Giovanni Iacca and Doina Bucur |
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| 48 | Population Diversity Leads to Short Running Times of Lexicase Selection |
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| Thomas Helmuth, Johannes Lengler and William La Cava |
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| 49 | Fair Feature Selection with a Lexicographic Multi-Objective Genetic Algorithm |
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| James Brookhouse and Alex Freitas |
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| 55 | Generalization and Computation for Policy Classes of Generative Adversarial Imitation Learning |
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| Yirui Zhou, Yangchun Zhang, Xiaowei Liu, Wanying Wang, Zhengping Che, Zhiyuan Xu, Jian Tang and Yaxin Peng |
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| 59 | Theoretical Study of Optimizing Rugged Landscapes with the cGA |
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| Tobias Friedrich, Timo Kötzing, Frank Neumann and Aishwarya Radhakrishnan |
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| 60 | Evolving Through the Looking Glass: Learning Improved Search Spaces with Variational Autoencoders |
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| Peter Bentley, Soo Ling Lim, Adam Gaier and Linh Tran |
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| 61 | Progress Rate Analysis of Evolution Strategies on the Rastrigin Function: First Results |
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| Amir Omeradzic and Hans-Georg Beyer |
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| 65 | A general architecture for interactive decomposition-based MOEAs |
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| Giomara Larraga and Kaisa Miettinen |
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| 70 | Adaptive Function Value Warping for Surrogate Model Assisted Evolutionary Optimization |
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| Amir Abbasnejad and Dirk Arnold |
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| 74 | Multi-Objective Evolutionary Algorithm Based on the Linear Assignment Problem and the Hypervolume Approximation using Polar Coordinates (MOEA-LAPCO) |
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| Diana Cristina Valencia Rodríguez and Carlos A. Coello Coello |
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| 78 | Identifying stochastically non-dominated solutions using evolutionary computation |
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| Hemant Singh and Juergen Branke |
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| 79 | Dynamic Multi-modal Multi-objective Optimization: A Preliminary Study |
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| Yiming Peng and Hisao Ishibuchi |
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| 81 | Iterated Local Search for the eBuses Charging Location Problem |
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| César Loaiza Quintana, Laura Climent and Alejandro Arbelaez |
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| 82 | Computing High-Quality Solutions for the Patient Admission Scheduling Problem using Evolutionary Diversity Optimisation |
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| Adel Nikfarjam, Amirhossein Moosavi, Aneta Neumann and Frank Neumann |
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| 84 | Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem |
|
| Adel Nikfarjam, Aneta Neumann, Jakob Bossek and Frank Neumann |
|
| 86 | HVC-Net: Deep Learning based Hypervolume Contribution Approximation |
|
| Ke Shang, Weiduo Liao and Hisao Ishibuchi |
|
| 88 | Do We Really Need to Use Constraint Violation in Constrained Evolutionary Multi-Objective Optimization? |
|
| Shuang Li, Ke Li and Wei Li |
|
| 89 | A First Runtime Analysis of the NSGA-II on a Multimodal Problem |
|
| Benjamin Doerr and Zhongdi Qu |
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| 91 | General Univariate Estimation-of-Distribution Algorithms |
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| Benjamin Doerr and Marc Dufay |
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| 93 | Attention-Based Genetic Algorithm for Adversarial Attack in Natural Language Processing |
|
| Shasha Zhou and Ke Li |
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| 98 | Self-adaptation via Multi-objectivisation: An Empirical Study |
|
| Xiaoyu Qin and Per Kristian Lehre |
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| 99 | Gene-pool Optimal Mixing in Cartesian Genetic Programming |
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| Joe Harrison, Tanja Alderliesten and Peter Bosman |
|
| 100 | Towards Efficient Multiobjective Hyperparameter Optimization: A Multiobjective Multi-Fidelity Bayesian Optimization and Hyperband Algorithm |
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| Zefeng Chen, Yuren Zhou, Zhengxin Huang and Xiaoyun Xia |
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| 101 | Fractal Dimension and Perturbation Strength: A Local Optima Networks View |
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| Sarah L. Thomson, Gabriela Ochoa and Sébastien Verel |
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| 103 | Hybridizing Hypervolume-based Evolutionary Algorithms and Gradient Descent by Dynamic Resource Allocation |
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| Damy Ha, Timo Deist and Peter Bosman |
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| 104 | Analysis of Search Landscape Samplers for Performance Prediction |
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| Thomas Feutrier, Marie-Eleonore Kessaci and Nadarajen Veerapen |
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| 105 | Multi-objective Evolutionary Ensemble Pruning Guided by Margin Distribution |
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| Yu-Chang Wu, Yi-Xiao He, Chao Qian and Zhi-Hua Zhou |
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| 107 | Evolutionary Algorithms for Cardinality-Constrained Ising Models |
|
| Vijay Dhanjibhai Bhuva, Duc-Cuong Dang, Liam Huber and Dirk Sudholt |
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| 108 | Single Interaction Multi-Objective Bayesian Optimization |
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| Juan Ungredda, Juergen Branke, Mariapia Marchi and Teresa Montrone |
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| 109 | Digging into Semantics: Where do search-based software repair methods search? |
|
| Hammad Ahmad, Padraic Cashin, Stephanie Forrest and Westley Weimer |
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| 113 | Collective Learning of Low-Memory Matrix Adaptation for Large-Scale Black-Box Optimization |
|
| Qiqi Duan, Guochen Zhou, Chang Shao, Yijun Yang and Yuhui Shi |
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| 114 | Robust Neural Network Pruning by Cooperative Coevolution |
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| Jia-Liang Wu, Haopu Shang, Wenjing Hong and Chao Qian |
|
| 115 | Neural Architecture Search: A Visual Analysis |
|
| Gabriela Ochoa and Nadarajen Veerapen |
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| 116 | Surrogate-assisted Multi-objective Optimization for Compiler Optimization Sequence Selection |
|
| Guojun Gao, Lei Qiao, Dong Liu, Shifei Chen and He Jiang |
|
| 119 | Efficient Approximation of Expected Hypervolume Improvement using Gauss-Hermite Quadrature |
|
| Alma Rahat, Tinkle Chugh, Jonathan Fieldsend, Richard Allmendinger and Kaisa Miettinen |
|
| 120 | Finding Knees in Bayesian Multi-Objective Optimization |
|
| Arash Heidari, Jixiang Qing, Sebastian Rojas Gonzalez, Jürgen Branke, Tom Dhaene and Ivo Couckuyt |
|
| 121 | Analysing the Fitness Landscape Rotation for Combinatorial Optimisation |
|
| Joan Alza, Mark Bartlett, Josu Ceberio and John McCall |
|
| 122 | Evolutionary Algorithm for Vehicle Routing with Diversity Oscillation Mechanism |
|
| Piotr Cybula, Andrzej Jaszkiewicz, Przemysław Pełka, Marek Rogalski and Piotr Sielski |
|
| 124 | Evolutionary Approaches for the Generation of Instance-Spaces |
|
| Kevin Sim and Emma Hart |
|
| 126 | Genetic programming for combining directional changes indicators in international stock markets |
|
| Xinpeng Long, Michael Kampouridis and Panagiotis Kanellopoulos |
|
| 128 | Direction Vector Selection for R2-based Hypervolume Contribution Approximation |
|
| Tianye Shu, Ke Shang, Yang Nan and Hisao Ishibuchi |
|
| 130 | Runtime Analysis of Simple Evolutionary Algorithms for the Chance-constrained Makespan Scheduling Problem |
|
| Feng Shi, Xiankun Yan and Frank Neumann |
|
| 131 | Surrogate-assisted LSHADE algorithm utilizing Recursive Least Squares filter |
|
| Mateusz Zaborski and Jacek Mańdziuk |
|
| 132 | Evolutionary Design of Reduced Precision Preprocessor for Levodopa-Induced Dyskinesia Classifier |
|
| Martin Hurta, Michaela Drahosova and Vojtech Mrazek |
|
| 137 | Escaping Local Optima With Local Search: A Theory-Driven Discussion |
|
| Tobias Friedrich, Timo Kötzing, Martin S. Krejca and Amirhossein Rajabi |
|
| 140 | A Systematic Approach to Analyze the Computational Cost of Robustness in Model-Assisted Robust Optimization |
|
| Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff and Thomas Bäck |
|
| 141 | Greedy Decremental Quick Hypervolume Subset Selection Algorithms |
|
| Andrzej Jaszkiewicz and Piotr Zielniewicz |
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| 147 | Increasing the Diversity of Benchmark Function Sets through Affine Recombination |
|
| Konstantin Dietrich and Olaf Mersmann |
|
| 148 | T-DominO: Exploring Multiple Criteria with Quality-Diversity and the Tournament Dominance Objective |
|
| Adam Gaier, James Stoddart, Lorenzo Villaggi and Peter Bentley |
|
| 153 | The Combined Critical Node and Edge Detection Problem. An Evolutionary Approach |
|
| Tamás Képes, Noémi Gaskó and Géza Vekov |
|
| 155 | Per-Run Algorithm Selection with Warm-starting Using Trajectory-based Features |
|
| Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov and Carola Doerr |
|
| 156 | Generative Models over Neural Controllers for Transfer Learning |
|
| James Butterworth, Rahul Savani and Karl Tuyls |
|
| 157 | On the impact of evaluation episode duration on the evolution of adaptive robots |
|
| Larissa Gremelmaier Rosa, Vitor Hugo Homem, Stefano Nolfi and Jônata Tyska Carvalho |
|
| 161 | Evolutionary Time Use Optimization for Improving Children’s Health Outcomes |
|
| Yue Xie, Aneta Neumann, Ty Stanford, Charlotte Lund Rasmussen, Dorothea Dumuid and Frank Neumann |
|
| 162 | Evolutionary Algorithms for Limiting the Effect of Uncertainty for the Knapsack Problem with Stochastic Profits |
|
| Aneta Neumann, Yue Xie and Frank Neumann |
|
| 164 | Runtime analysis of unbalanced block-parallel evolutionary algorithms |
|
| Brahim Aboutaib and Andrew Sutton |
|
| 165 | Improving Nevergrad’s Algorithm Selection Wizard NGOpt through Automated Algorithm Configuration |
|
| Risto Trajanov, Ana Nikolikj, Gjorgjina Cenikj, Fabien Teytaud, Mathurin Videau, Olivier Teytaud, Tome Eftimov, Manuel López-Ibáñez and Carola Doerr |
|
| 167 | High Dimensional Bayesian Optimization with Kernel PCA |
|
| Kirill Antonov, Elena Raponi, Hao Wang and Carola Doerr |
|
| 168 | Non-Elitist Selection Can Improve the Performance of Irace |
|
| Furong Ye, Diederick Vermetten, Carola Doerr and Thomas Bäck |
|
| 171 | Towards Discrete Phenotypic Recombination in Cartesian Genetic Programming |
|
| Roman Kalkreuth |
|
| 176 | BBE: Basin-Based Evaluation of Multimodal Multi-Objective Optimization Problems |
|
| Jonathan Heins, Jeroen Rook, Lennart Schäpermeier, Pascal Kerschke, Jakob Bossek and Heike Trautmann |
|
| 177 | Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study Of Deep Learning and Landscape Analysis Methods |
|
| Raphael Patrick Prager, Moritz Vinzent Seiler, Heike Trautmann and Pascal Kerschke |
|
| 178 | Towards Fixed-Target Black-Box Complexity Analysis |
|
| Dmitry Vinokurov and Maxim Buzdalov |
|
| 179 | HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis |
|
| Lennart Schneider, Lennart Schäpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann and Pascal Kerschke |
|
| 182 | Analysis of Quality Diversity Algorithms for the Knapsack Problem |
|
| Adel Nikfarjam, Anh Viet Do and Frank Neumann |
|
| 184 | Obtaining Smoothly Navigable Approximation Sets in Bi-Objective Multi-Modal Optimization |
|
| Renzo J. Scholman, Anton Bouter, Leah R.M. Dickhoff, Tanja Alderliesten and Peter A.N. Bosman |
|
| 186 | Running Time Analysis of the (1+1)-EA using Surrogate Models on OneMax and LeadingOnes |
|
| Zi-An Zhang, Chao Bian and Chao Qian |
|
| 187 | New Solution Creation Operator in MOEA/D for Faster Convergence |
|
| Longcan Chen, Lie Meng Pang and Hisao Ishibuchi |
|
| 190 | Better Running Time of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) by Using Stochastic Tournament Selection |
|
| Chao Bian and Chao Qian |
|
