| 2021 | A coevolutionary approach to deep multi-agent reinforcement learning. | Daan Klijn, A. E. Eiben |
| 2021 | Simulation-based scheduling of a large-scale industrial formulation plant using a heuristics-assisted genetic algorithm. | Christian Klanke, Dominik R. Bleidorn, Christian Koslowski, Christian Sonntag, Sebastian Engell |
| 2021 | Optimisation algorithms for parallel machine scheduling problems with setup times. | Fabian Kittel, Jannik Enenkel, Michael Guckert, Jana Holznigenkemper, Neil Urquhart |
| 2021 | Visualizing fitnesses and constraint violations in single-objective optimization. | Tomofumi Kitamura, Alex Fukunaga |
| 2021 | Multi tree operators for genetic programming to identify optimal energy flow controllers. | Kathrin Kefer, Roland Hanghofer, Patrick Kefer, Markus Stger, Bernd Hofer, Michael Affenzeller, Stephan M. Winkler |
| 2021 | Improving the scalability of distributed neuroevolution using modular congruence class generated innovation numbers. | Joshua Karns, Travis Desell |
| 2021 | Towards population-based fitness landscape analysis using local optima networks. | Melike D. Karatas, Ozgur E. Akman, Jonathan E. Fieldsend |
| 2021 | Simulated annealing for symbolic regression. | Daniel Kantor, Fernando J. Von Zuben, Fabrcio Olivetti de Frana |
| 2021 | Empirical analysis of variance for genetic programming based symbolic regression. | Lukas Kammerer, Gabriel Kronberger, Stephan M. Winkler |
| 2021 | Augmenting high-dimensional nonlinear optimization with conditional GANs. | Pouya Rezazadeh Kalehbasti, Michael D. Lepech, Samarpreet Singh Pandher |
| 2021 | Self-organizing migrating algorithm with clustering-aided migration and adaptive perturbation vector control. | Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik |
| 2021 | SOMA-CLP for competition on bound constrained single objective numerical optimization benchmark: a competition entry on bound constrained single objective numerical optimization at the genetic and evolutionary computation conference (GECCO) 2021. | Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik |
| 2021 | Understanding evolutionary induction of decision trees: a multi-tree repository approach. | Krzysztof Jurczuk, Marcin Czajkowski, Marek Kretowski |
| 2021 | A survey of cluster validity indices for automatic data clustering using differential evolution. | Adn Jos Garca, Wilfrido Gmez-Flores |
| 2021 | Examining forms of inductive bias towards 'simplicity' in genetic algorithms to enhance evolvability of boolean functions. | Hetvi Jethwani, Sumeet Agarwal |
| 2021 | On the design and anytime performance of indicator-based branch and bound for multi-objective combinatorial optimization. | Alexandre D. Jesus, Lus Paquete, Bilel Derbel, Arnaud Liefooghe |
| 2021 | Quick extreme hypervolume contribution algorithm. | Andrzej Jaszkiewicz, Piotr Zielniewicz |
| 2021 | The impact of hyper-parameter tuning for landscape-aware performance regression and algorithm selection. | Anja Jankovic, Gorjan Popovski, Tome Eftimov, Carola Doerr |
| 2021 | CoInGP: convolutional inpainting with genetic programming. | Domagoj Jakobovic, Luca Manzoni, Luca Mariot, Stjepan Picek, Mauro Castelli |
| 2021 | A genetic algorithm for AC optimal transmission switching. | Masood Jabarnejad |
| 2021 | Automatic exploration of the property space of reservoirs. | Mika Ito, Leo Cazenille, Nathanal Aubert-Kato |
| 2021 | Unbalanced mallows models for optimizing expensive black-box permutation problems. | Ekhine Irurozki, Manuel Lpez-Ibez |
| 2021 | The paradox of choice in evolving swarms: information overload leads to limited sensing. | Calum C. Imrie, J. Michael Herrmann, Olaf Witkowski |
| 2021 | Automated design of accurate and robust image classifiers with brain programming. | Gerardo Ibarra-Vzquez, Gustavo Olague, Cesar Puente, Mariana Chan-Ley, Carlos Soubervielle-Montalvo |
| 2021 | On the impact of tangled program graph marking schemes under the atari reinforcement learning benchmark. | Alexandru Ianta, Ryan Amaral, Caleidgh Bayer, Robert J. Smith, Malcolm I. Heywood |