| 2022 | Effects of encodings and quality-diversity on evolving 2D virtual creatures. | Frank Veenstra, Martin Herring Olsen, Kyrre Glette |
| 2022 | Implementing and evaluating parallel evolutionary algorithms in modern GPU computing libraries. | Patrik Valkovic, Martin Pilt |
| 2022 | On genetic programming representations and fitness functions for interpretable dimensionality reduction. | Thomas Uriot, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman |
| 2022 | Preliminary tests of an anticipatory classifier system with experience replay. | Olgierd Unold, Norbert Kozlowski, Lsukasz Smierzchala |
| 2022 | Analyzing multi-agent reinforcement learning and coevolution in cybersecurity. | Matthew J. Turner, Erik Hemberg, Una-May O'Reilly |
| 2022 | An effective metaheuristic-based pruning method for convolutional neural network. | Kai-Hsun Tsai, Chun-Wei Tsai, Ming-Chao Chiang |
| 2022 | Coevolutionary computation for adversarial deep learning. | Jamal Toutouh, Una-May O'Reilly |
| 2022 | What makes the dynamic capacitated Arc routing problem hard to solve: insights from fitness landscape analysis. | Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao |
| 2022 | Measuring optimiser performance on a conical barrier tree benchmark. | Itshak Tkach, Tim Blackwell |
| 2022 | Approximating gradients for differentiable quality diversity in reinforcement learning. | Bryon Tjanaka, Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis |
| 2022 | Designing a novel and high performance algorithmic trading model using evolutionary AutoML and technical analysis. | Abhiram Tirumala, Rishi Bhatnager, Sriram Mudireddy, Pranav Manjunath, Jason Zutty |
| 2022 | Iterated local search with perturbation based on variables interaction for pseudo-boolean optimization. | Renato Tins, Michal Witold Przewozniczek, Darrell Whitley |
| 2022 | On funnel depths and acceptance criteria in stochastic local search. | Sarah L. Thomson, Gabriela Ochoa |
| 2022 | One-shot optimization for vehicle dynamics control systems: towards benchmarking and exploratory landscape analysis. | Andr Thomaser, Anna V. Kononova, Marc-Eric Vogt, Thomas Bck |
| 2022 | Model-based evolutionary algorithms: GECCO 2022 tutorial. | Dirk Thierens, Peter A. N. Bosman |
| 2022 | Reinforcement learning based adaptive metaheuristics. | Michele Tessari, Giovanni Iacca |
| 2022 | Understanding AutoML search spaces with local optima networks. | Matheus Cndido Teixeira, Gisele L. Pappa |
| 2022 | Generative hyper-heuristics. | Daniel R. Tauritz, John R. Woodward |
| 2022 | Genetic algorithm cleaning in sequential data mining: analyzing solutions to parsons' puzzles. | Kok Cheng Tan, Daniel Zantedeschi, Amruth N. Kumar, Alessio Gaspar |
| 2022 | EvoJAX: hardware-accelerated neuroevolution. | Yujin Tang, Yingtao Tian, David Ha |
| 2022 | A two-phase framework with a bzier simplex-based interpolation method for computationally expensive multi-objective optimization. | Ryoji Tanabe, Youhei Akimoto, Ken Kobayashi, Hiroshi Umeki, Shinichi Shirakawa, Naoki Hamada |
| 2022 | Benchmarking the hooke-jeeves method, MTS-LS1, and BSrr on the large-scale BBOB function set. | Ryoji Tanabe |
| 2022 | A verified application of genetic programming: QoS time series modeling and forecasting for web services. | Yang Syu, Chien-Min Wang, Yong-Yi Fanjiang |
| 2022 | Evolving convolutional neural networks for intrusion detection system using hybrid multi-strategy aquila optimizer. | Wei Sun, Qianmu Li, Pengchuan Wang, Jun Hou |
| 2022 | Enhancing a QUBO solver via data driven multi-start and its application to vehicle routing problem. | Whei Yeap Suen, Matthieu Parizy, Hoong Chuin Lau |