| 2022 | AbstractSwarm multi-agent logistics competition entry: QPlus. | Patrick A. Winkel |
| 2022 | Black-box adversarial attack via overlapped shapes. | Phoenix Neale Williams, Ke Li, Geyong Min |
| 2022 | Local optima organize into lattices under recombination: an example using the traveling salesman problem. | Darrell Whitley, Gabriela Ochoa |
| 2022 | Graybox optimization and next generation genetic algorithms. | Darrell Whitley |
| 2022 | Quantum neuron selection: finding high performing subnetworks with quantum algorithms. | Tim Whitaker |
| 2022 | Uncertainty in equation learning. | Matthias Werner, Andrej Junginger, Philipp Hennig, Georg Martius |
| 2022 | Surrogate models for IoT task allocation optimization. | Dominik Weikert, Christoph Steup, Sanaz Mostaghim |
| 2022 | Improving the differential evolution strategy by coupling it with CMA-ES. | Eryk Warchulski, Jaroslaw Arabas, Rafal Biedrzycki |
| 2022 | Mutation-based test generation for quantum programs with multi-objective search. | Xinyi Wang, Tongxuan Yu, Paolo Arcaini, Tao Yue, Shaukat Ali |
| 2022 | IOHanalyzer: Detailed performance analyses for iterative optimization heuristics: hot-off-the-press track @ GECCO 2022. | Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bck |
| 2022 | Evolving SimGANs to improve abnormal electrocardiogram classification. | Gabriel Wang, Anish Thite, Rodd Talebi, Anthony D'Achille, Alex Mussa, Jason Zutty |
| 2022 | High-performance evolutionary algorithms for online neuron control. | Binxu Wang, Carlos R. Ponce |
| 2022 | Dropout topology-assisted bidirectional learning particle swarm optimization for neural architecture search. | Ye-Qun Wang, Chun-Hua Chen, Jun Zhang, Zhi-Hui Zhan |
| 2022 | Progressive sampling surrogate-assisted particle swarm optimization for large-scale expensive optimization. | Hong-Rui Wang, Chun-Hua Chen, Yun Li, Jun Zhang, Zhi-Hui Zhan |
| 2022 | On the effect of the sampling ratio of past trajectories in the combination of evolutionary algorithm and deep reinforcement learning. | Yasen Wang, Youhei Akimoto |
| 2022 | Generating failing test suites for quantum programs with search (hot off the press track at GECCO 2022). | Xinyi Wang, Paolo Arcaini, Tao Yue, Shaukat Ali |
| 2022 | Cooperative attack-defense evolution of large-scale agents: a multi-population high-dimensional mean-field game approach. | Guofang Wang, Xiao Zhang, Wang Yao, Lu Ren |
| 2022 | Choosing the right algorithm with hints from complexity theory: (hot-off-the-press track at GECCO 2022). | Shouda Wang, Weijie Zheng, Benjamin Doerr |
| 2022 | Local ranking explanation for genetic programming evolved routing policies for uncertain capacitated Arc routing problems. | Shaolin Wang, Yi Mei, Mengjie Zhang |
| 2022 | An explainable visualisation of the evolutionary search process. | Mathew J. Walter, David J. Walker, Matthew J. Craven |
| 2022 | Analysis of neutral rewrite operator effects on arithmetic domain. | Dmytro Vitel, Alessio Gaspar |
| 2022 | Coefficient mutation in the gene-pool optimal mixing evolutionary algorithm for symbolic regression. | Marco Virgolin, Peter A. N. Bosman |
| 2022 | On optimal static and dynamic parameter choices for fixed-target optimization. | Dmitry Vinokurov, Maxim Buzdalov |
| 2022 | Analyzing the impact of undersampling on the benchmarking and configuration of evolutionary algorithms. | Diederick Vermetten, Hao Wang, Manuel Lpez-Ibez, Carola Doerr, Thomas Bck |
| 2022 | Using structural bias to analyse the behaviour of modular CMA-ES. | Diederick Vermetten, Fabio Caraffini, Bas van Stein, Anna V. Kononova |