| 2023 | Co-evolving Recurrent Neural Networks and their Hyperparameters with Simplex Hyperparameter Optimization. | Amit Dilip Kini, Swaraj Sambhaji Yadav, Aditya Shankar Thakur, Akshar Bajrang Awari, Zimeng Lyu, Travis Desell |
| 2023 | Optimizing Keyboard Configuration Using Single and Multi-Objective Evolutionary Algorithms. | Ahmer Khan, Kalyanmoy Deb |
| 2023 | Exploratory Landscape Analysis. | Pascal Kerschke, Mike Preuss |
| 2023 | Bayesian Quality Diversity Search with Interactive Illumination. | Paul Kent, Jrgen Branke |
| 2023 | Hybridizing TPOT with Bayesian Optimization. | Angus Kenny, Tapabrata Ray, Steffen Limmer, Hemant Kumar Singh, Tobias Rodemann, Markus Olhofer |
| 2023 | Pid-Inspired Modifications in Response Threshold Models In Swarm Intelligent Systems. | Maryam Kebari, Annie S. Wu, H. David Mathias |
| 2023 | Synthesizing Effective Diagnostic Models from Small Samples using Structural Machine Learning: a Case Study in Automating COVID-19 Diagnosis. | Piotr Kaszuba, Andrew Turner, Bartosz Mikulski, Nl Shasha Jumbe, Andreas Schuh, Michael Morimoto, Peter Rexelius, Ryan Hafen, Ron Deiotte, Kevin Hammond, Jerry Swan, Krzysztof Krawiec |
| 2023 | Local Stochastic Differentiable Architecture Search for Memetic Neuroevolution Algorithms. | Joshua Karns, Travis Desell |
| 2023 | Iterative Structure-Based Genetic Programming for Neural Architecture Search. | Rahul Kapoor, Nelishia Pillay |
| 2023 | Hybrid Rocket Engine Design Using Pairwise Ranking Surrogate-assisted Differential Evolution. | Hitomi Kano, Tomohiro Harada, Yukiya Miura, Masahiro Kanazaki |
| 2023 | Improving Neighborhood Exploration Mechanism to Speed up PLS. | Yuhao Kang, Jialong Shi, Jianyong Sun, Ye Fan |
| 2023 | Positive Definite Nonparametric Regression using an Evolutionary Algorithm with Application to Covariance Function Estimation. | Myeongjong Kang |
| 2023 | Graph-Based Mutations for Music Generation. | Maziar Kanani, Sen O'Leary, James McDermott |
| 2023 | LSevoBN: a structure learning algorithm for large Bayesian networks. | Yury Kaminsky, Irina Deeva |
| 2023 | Towards a General Boolean Function Benchmark Suite. | Roman Kalkreuth, Zdenek Vascek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bck |
| 2023 | Impact of Boundary Control Methods on Bound-constrained Optimization Benchmarking. | Tomas Kadavy, Adam Viktorin, Anezka Kazikova, Michal Pluhacek, Roman Senkerik |
| 2023 | Exploring the Frequency of Boundary Control Methods Activation in Metaheuristic Algorithms. | Tomas Kadavy, Michal Pluhacek, Adam Viktorin, Roman Senkerik |
| 2023 | From Random Forest to an interpretable decision tree - An evolutionary approach. | Krzysztof Jurczuk, Marcin Czajkowski, Marek Kretowski |
| 2023 | Re-Evaluating Algorithm Variations Using Empirical Similarity. | Jair Pereira Junior, Claus Aranha |
| 2023 | Personalized Group Itinerary Recommendation using a Knowledge-based Evolutionary Approach. | Farzaneh Jouyandeh, Pooya Moradian Zadeh |
| 2023 | Comma Selection Outperforms Plus Selection on OneMax with Randomly Planted Optima. | Joost Jorritsma, Johannes Lengler, Dirk Sudholt |
| 2023 | Evolutionary Computation Evolving. | Kenneth A. De Jong |
| 2023 | A distributed multi-disciplinary design optimization benchmark test suite with constraints and multiple conflicting objectives. | Victoria Johnson, Joo A. Duro, Visakan Kadirkamanathan, Robin C. Purshouse |
| 2023 | Curious-II: A Multi/Many-Objective Optimization Algorithm with Subpopulations based on Multi-novelty Search. | Yuzi Jiang, Danilo Vasconcellos Vargas |
| 2023 | Estimation-of-Distribution Algorithms for Multi-Valued Decision Variables. | Firas Ben Jedidia, Benjamin Doerr, Martin S. Krejca |