| 2022 | Accelerated pattern search with variable solution size for simultaneous instance selection and generation. | Hoang Lam Le, Ferrante Neri, Dario Landa-Silva, Isaac Triguero |
| 2022 | Self-adaptation via multi-objectivisation: a theoretical study. | Per Kristian Lehre, Xiaoyu Qin |
| 2022 | Runtime analysis of population-based evolutionary algorithms. | Per Kristian Lehre, Pietro S. Oliveto |
| 2022 | Runtime analysis of competitive co-evolutionary algorithms for maximin optimisation of a bilinear function. | Per Kristian Lehre |
| 2022 | Enhancing MOEA/D with learning: application to routing problems with time windows. | Clment Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Elonore Kessaci |
| 2022 | LUCIE: an evaluation and selection method for stochastic problems. | Erwan Lecarpentier, Paul Templier, Emmanuel Rachelson, Dennis G. Wilson |
| 2022 | Component-wise analysis of automatically designed multiobjective algorithms on constrained problems. | Yuri Cossich Lavinas, Marcelo Ladeira, Gabriela Ochoa, Claus Aranha |
| 2022 | Interactive MOEA/D with multiple types of preference information. | Giomara Lrraga, Kaisa Miettinen |
| 2022 | Evolution of activation functions for deep learning-based image classification. | Raz Lapid, Moshe Sipper |
| 2022 | Long-term evolution experiment with genetic programming [hot of the press]. | William B. Langdon, Wolfgang Banzhaf |
| 2022 | Measuring failed disruption propagation in genetic programming. | William B. Langdon, Afnan A. Al-Subaihin, David Clark |
| 2022 | Failed disruption propagation in integer genetic programming. | William B. Langdon |
| 2022 | Genetic programming convergence. | William B. Langdon |
| 2022 | Tag-based module regulation for genetic programming. | Alexander Lalejini, Matthew Andres Moreno, Charles Ofria |
| 2022 | Selection schemes from evolutionary computing show promise for directed evolution of microbes. | Alexander Lalejini, Emily L. Dolson, Anya E. Vostinar, Luis Zaman |
| 2022 | Biology inspired growth in meta-learning. | Cullen A. LaKemper, Cehong Wang, Jason A. Yoder |
| 2022 | Evaluation of inverse selection operators on maximum flow test generation problem. | Egor Kurbatov, Vladimir Mironovich |
| 2022 | A safety checking algorithm with multi-swarm particle swarm optimization. | Tsutomu Kumazawa, Munehiro Takimoto, Yasushi Kambayashi |
| 2022 | Effective mutation rate adaptation through group elite selection. | Akarsh Kumar, Bo Liu, Risto Miikkulainen, Peter Stone |
| 2022 | The effect of decoding fairness on particle swarm optimization for the | Pavel Krmer, Vojtech Uher |
| 2022 | Compositional genetic programming for symbolic regression. | Krzysztof Krawiec, Dominik Kossinski |
| 2022 | Amaru: a framework for combining genetic improvement with pattern mining. | Oliver Krauss |
| 2022 | Application of nature inspired algorithms to multi-objective optimization of new generation network problem. | Stanislaw Kozdrowski, Kacper Wnuk |
| 2022 | Evolvable hybrid ensembles for musical genre classification. | Daniel Kostrzewa, Michal Ciszynski, Robert Brzeski |
| 2022 | The importance of landscape features for performance prediction of modular CMA-ES variants. | Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov |