| 2022 | Targeting requirements violations of autonomous driving systems by dynamic evolutionary search (HOP at GECCO'22). | Yixing Luo, Xiao-Yi Zhang, Paolo Arcaini, Zhi Jin, Haiyan Zhao, Fuyuki Ishikawa, Rongxin Wu, Tao Xie |
| 2022 | Exploring hidden semantics in neural networks with symbolic regression. | Yuanzhen Luo, Qiang Lu, Xilei Hu, Jake Luo, Zhiguang Wang |
| 2022 | Multi-objective framework for quantile forecasting in financial time series using transformers. | Samuel Lpez-Ruiz, Carlos Ignacio Hernndez Castellanos, Katya Rodrguez-Vzquez |
| 2022 | Efficient guided evolution for neural architecture search. | Vasco Lopes, Miguel Santos, Bruno Degardin, Lus A. Alexandre |
| 2022 | A computationally fast but approximate MIP-DoM calculation for multi-objective optimization. | Claudio Lucio do Val Lopes, Flvio Vincius Cruzeiro Martins, Elizabeth F. Wanner, Kalyanmoy Deb |
| 2022 | Learning the characteristics of engineering optimization problems with applications in automotive crash. | Fu Xing Long, Bas van Stein, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bck |
| 2022 | Decomposition multi-objective optimisation: current developments and future opportunities. | Ke Li, Qingfu Zhang |
| 2022 | A layered learning estimation of distribution algorithm. | Yong Li, Qiang Yang, Xu-Dong Gao, Zhenyu Lu, Jun Zhang |
| 2022 | A classification-assisted level-based learning evolutionary algorithm for expensive multiobjective optimization problems. | Zhuo Liu, Xiaolin Xiao, Feng-Feng Wei, Wei-Neng Chen |
| 2022 | Evolvability degeneration in multi-objective genetic programming for symbolic regression. | Dazhuang Liu, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman |
| 2022 | KDE-GAN: enhancing evolutionary GAN with knowledge distillation and transfer learning. | Zheping Liu, Andy Song, Nasser R. Sabar |
| 2022 | Evolving transferable neural pruning functions. | Yuchen Liu, Sun-Yuan Kung, David Wentzlaff |
| 2022 | De-redundancy in a random boolean network using knockout. | Junxiu Liu, Jufang Dai, Min Su, Shunsheng Zhang, Yifan Hua, Yanhu Wang, Haiping Shu |
| 2022 | A comparison of rule compaction algorithms for michigan style learning classifier systems. | Yi Liu, Will N. Browne, Bing Xue |
| 2022 | Genetic improvement in the shackleton framework for optimizing LLVM pass sequences. | Shuyue Stella Li, Hannah Peeler, Andrew N. Sloss, Kenneth N. Reid, Wolfgang Banzhaf |
| 2022 | Multi-task optimisation for multi-objective feature selection in classification. | Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang |
| 2022 | Learning to walk autonomously via reset-free quality-diversity. | Bryan Lim, Alexander Reichenbach, Antoine Cully |
| 2022 | QDax: on the benefits of massive parallelization for quality-diversity. | Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully |
| 2022 | Lexi | Allan de Lima, Samuel Carvalho, Douglas Mota Dias, Enrique Naredo, Joseph P. Sullivan, Conor Ryan |
| 2022 | Initialization method of genetic algorithm based on improved clustering algorithm. | Hao Li, Xuesong Jiang, Xiumei Wei |
| 2022 | Evolutionary constrained multi-task optimization: benchmark problems and preliminary results. | Yanchi Li, Wenyin Gong, Shuijia Li |
| 2022 | A distributed particle swarm optimization algorithm for distributed clustering. | Zi-Xing Li, Xiao-Qi Guo, Wei-Neng Chen, Xiao-Min Hu |
| 2022 | Dissecting copy/delete/replace/swap mutations: insights from a GIN case study. | Sherlock A. Licorish, Markus Wagner |
| 2022 | Combining GIN and PMD for code improvements. | Sherlock A. Licorish, Markus Wagner |
| 2022 | A hybrid optimization tool for active magnetic regenerator. | Anna Ouskova Leonteva, Michel Risser, Radia Hamane, Anne Jeannin-Girardon, Pierre Parrend, Pierre Collet |