| 2021 | An evolutionary multi-objective feature selection approach for detecting music segment boundaries of specific types. | Igor Vatolkin, Fabian Ostermann, Meinard Mller |
| 2021 | Many-objective population visualisation with geons. | Marius N. Varga, Swen E. Gaudl, David J. Walker |
| 2021 | A parallel ensemble genetic algorithm for the traveling salesman problem. | Swetha Varadarajan, Darrell Whitley |
| 2021 | One step preference elicitation in multi-objective Bayesian optimization. | Juan Ungredda, Jrgen Branke, Mariapia Marchi, Teresa Montrone |
| 2021 | A new acquisition function for robust Bayesian optimization of unconstrained problems. | Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bck |
| 2021 | X-Aevol: GPU implementation of an evolutionary experimentation simulator. | Laurent Turpin, Thierry Gautier, Jonathan Rouzaud-Cornabas |
| 2021 | A divide and conquer approach for web services location allocation problem. | Harshal Tupsamudre, Saket Saurabh, Arun Ramamurthy, Mangesh S. Gharote, Sachin Lodha |
| 2021 | Multi-objective evolutionary product bundling: a case study. | Okan Tunali, Ahmet Tugrul Bayrak, Vctor Snchez-Anguix, Reyhan Aydogan |
| 2021 | Coevolutionary computation for adversarial deep learning. | Jamal Toutouh, Una-May O'Reilly |
| 2021 | Signal propagation in a gradient-based and evolutionary learning system. | Jamal Toutouh, Una-May O'Reilly |
| 2021 | Coevolution of remaining useful lifetime estimation pipelines for automated predictive maintenance. | Tanja Tornede, Alexander Tornede, Marcel Wever, Eyke Hllermeier |
| 2021 | A hybrid local search framework for the dynamic capacitated arc routing problem. | Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao |
| 2021 | Interactive evolutionary multiple objective optimization algorithm using a fast calculation of holistic acceptabilities. | Michal K. Tomczyk, Milosz Kadzinski |
| 2021 | Directing evolution: the automated design of evolutionary pathways using directed graphs. | Braden N. Tisdale, Deacon Seals, Aaron Scott Pope, Daniel R. Tauritz |
| 2021 | Partition crossover for continuous optimization: ePX. | Renato Tins, Darrell Whitley, Francisco Chicano, Gabriela Ochoa |
| 2021 | Concurrent neural tree and data preprocessing AutoML for image classification. | Anish Thite, Mohan Dodda, Alex Liu, Pulak Agarwal, Jason Zutty |
| 2021 | A benchmark generator of tree decomposition Mk landscapes. | Dirk Thierens, Tobias van Driessel |
| 2021 | Model-based evolutionary algorithms. | Dirk Thierens, Peter A. N. Bosman |
| 2021 | Improving assertion oracles with evolutionary computation. | Valerio Terragni, Gunel Jahangirova, Mauro Pezz, Paolo Tonella |
| 2021 | A geometric encoding for neural network evolution. | Paul Templier, Emmanuel Rachelson, Dennis G. Wilson |
| 2021 | Bayesian preference learning for interactive multi-objective optimisation. | Kendall Taylor, Huong Ha, Minyi Li, Jeffrey Chan, Xiaodong Li |
| 2021 | Hyper-heuristics tutorial. | Daniel R. Tauritz, John R. Woodward |
| 2021 | Local search pivoting rules and the landscape global structure. | Sara Tari, Gabriela Ochoa |
| 2021 | Level generation for angry birds with sequential VAE and latent variable evolution. | Takumi Tanabe, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto |
| 2021 | Towards exploratory landscape analysis for large-scale optimization: a dimensionality reduction framework. | Ryoji Tanabe |