| 2022 | Evolutionary Time-Use Optimization for Improving Children's Health Outcomes. | Yue Xie, Aneta Neumann, Ty Stanford, Charlotte Lund Rasmussen, Dorothea Dumuid, Frank Neumann |
| 2022 | Robust Neural Network Pruning by Cooperative Coevolution. | Jia-Liang Wu, Haopu Shang, Wenjing Hong, Chao Qian |
| 2022 | Multi-objective Evolutionary Ensemble Pruning Guided by Margin Distribution. | Yu-Chang Wu, Yi-Xiao He, Chao Qian, Zhi-Hua Zhou |
| 2022 | An Exact Inverted Generational Distance for Continuous Pareto Front. | Zihan Wang, Chunyun Xiao, Aimin Zhou |
| 2022 | Towards Fixed-Target Black-Box Complexity Analysis. | Dmitry Vinokurov, Maxim Buzdalov |
| 2022 | Multi-Objective Evolutionary Algorithm Based on the Linear Assignment Problem and the Hypervolume Approximation Using Polar Coordinates (MOEA-LAPCO). | Diana Cristina Valencia-Rodrguez, Carlos Artemio Coello Coello |
| 2022 | Single Interaction Multi-Objective Bayesian Optimization. | Juan Ungredda, Jrgen Branke, Mariapia Marchi, Teresa Montrone |
| 2022 | A Systematic Approach to Analyze the Computational Cost of Robustness in Model-Assisted Robust Optimization. | Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bck |
| 2022 | 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 Lpez-Ibez, Carola Doerr |
| 2022 | Fractal Dimension and Perturbation Strength: A Local Optima Networks View. | Sarah L. Thomson, Gabriela Ochoa, Sbastien Vrel |
| 2022 | SemiGraphFL: Semi-supervised Graph Federated Learning for Graph Classification. | Ye Tao, Ying Li, Zhonghai Wu |
| 2022 | Revisiting Attention-Based Graph Neural Networks for Graph Classification. | Ye Tao, Ying Li, Zhonghai Wu |
| 2022 | Identifying Stochastically Non-dominated Solutions Using Evolutionary Computation. | Hemant Kumar Singh, Jrgen Branke |
| 2022 | Evolutionary Approaches to Improving the Layouts of Instance-Spaces. | Kevin Sim, Emma Hart |
| 2022 | Direction Vector Selection for R2-Based Hypervolume Contribution Approximation. | Tianye Shu, Ke Shang, Yang Nan, Hisao Ishibuchi |
| 2022 | Runtime Analysis of Simple Evolutionary Algorithms for the Chance-Constrained Makespan Scheduling Problem. | Feng Shi, Xiankun Yan, Frank Neumann |
| 2022 | HVC-Net: Deep Learning Based Hypervolume Contribution Approximation. | Ke Shang, Weiduo Liao, Hisao Ishibuchi |
| 2022 | Obtaining Smoothly Navigable Approximation Sets in Bi-objective Multi-modal Optimization. | Renzo J. Scholman, Anton Bouter, Leah R. M. Dickhoff, Tanja Alderliesten, Peter A. N. Bosman |
| 2022 | HPO ˟ ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis. | Lennart Schneider, Lennart Schpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann, Pascal Kerschke |
| 2022 | On the Impact of the Duration of Evaluation Episodes on the Evolution of Adaptive Robots. | Larissa Gremelmaier Rosa, Vitor Hugo Homem, Stefano Nolfi, Jnata Tyska Carvalho |
| 2022 | Efficient Approximation of Expected Hypervolume Improvement Using Gauss-Hermite Quadrature. | Alma A. M. Rahat, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen |
| 2022 | Iterated Local Search for the eBuses Charging Location Problem. | Csar Loaiza Quintana, Laura Climent, Alejandro Arbelaez |
| 2022 | Self-adaptation via Multi-objectivisation: An Empirical Study. | Xiaoyu Qin, Per Kristian Lehre |
| 2022 | 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, Pascal Kerschke |
| 2022 | Dynamic Multi-modal Multi-objective Optimization: A Preliminary Study. | Yiming Peng, Hisao Ishibuchi |