| 2020 | Robust Evolutionary Bi-objective Optimization for Prostate Cancer Treatment with High-Dose-Rate Brachytherapy. | Marjolein C. van der Meer, Arjan Bel, Yury Niatsetski, Tanja Alderliesten, Bradley R. Pieters, Peter A. N. Bosman |
| 2020 | Ensuring Smoothly Navigable Approximation Sets by Bzier Curve Parameterizations in Evolutionary Bi-objective Optimization. | Stefanus C. Maree, Tanja Alderliesten, Peter A. N. Bosman |
| 2020 | Evaluation of a Permutation-Based Evolutionary Framework for Lyndon Factorizations. | Lily Major, Amanda Clare, Jacqueline W. Daykin, Benjamin Mora, Leonel Jose Pea Gamboa, Christine Zarges |
| 2020 | Program Synthesis in a Continuous Space Using Grammars and Variational Autoencoders. | David Lynch, James McDermott, Michael O'Neill |
| 2020 | PbO-CCSAT: Boosting Local Search for Satisfiability Using Programming by Optimisation. | Chuan Luo, Holger H. Hoos, Shaowei Cai |
| 2020 | Neuromemetic Evolutionary Optimization. | Pawel Liskowski, Krzysztof Krawiec, Nihat Engin Toklu |
| 2020 | Dominance, Indicator and Decomposition Based Search for Multi-objective QAP: Landscape Analysis and Automated Algorithm Selection. | Arnaud Liefooghe, Sbastien Vrel, Bilel Derbel, Hernn E. Aguirre, Kiyoshi Tanaka |
| 2020 | Large Population Sizes and Crossover Help in Dynamic Environments. | Johannes Lengler, Jonas Meier |
| 2020 | Improved Fixed-Budget Results via Drift Analysis. | Timo Ktzing, Carsten Witt |
| 2020 | Can Compact Optimisation Algorithms Be Structurally Biased? | Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bck |
| 2020 | Improving Imbalanced Classification by Anomaly Detection. | Jiawen Kong, Wojtek Kowalczyk, Stefan Menzel, Thomas Bck |
| 2020 | A Committee of Convolutional Neural Networks for Image Classification in the Concurrent Presence of Feature and Label Noise. | Stanislaw Kazmierczak, Jacek Mandziuk |
| 2020 | A Variable Neighborhood Search for the Job Sequencing with One Common and Multiple Secondary Resources Problem. | Thomas Kaufmann, Matthias Horn, Gnther R. Raidl |
| 2020 | Approximate Hypervolume Calculation with Guaranteed or Confidence Bounds. | Andrzej Jaszkiewicz, Robert Susmaga, Piotr Zielniewicz |
| 2020 | Network Representation Learning Based on Topological Structure and Vertex Attributes. | Shengxiang Hu, Bofeng Zhang, Ying Lv, Furong Chang, Zhuocheng Zhou |
| 2020 | Analysis on the Efficiency of Multifactorial Evolutionary Algorithms. | Zhengxin Huang, Zefeng Chen, Yuren Zhou |
| 2020 | Multi-objective Magnitude-Based Pruning for Latency-Aware Deep Neural Network Compression. | Wenjing Hong, Peng Yang, Yiwen Wang, Ke Tang |
| 2020 | Fast Perturbative Algorithm Configurators. | George T. Hall, Pietro S. Oliveto, Dirk Sudholt |
| 2020 | Designing Air Flow with Surrogate-Assisted Phenotypic Niching. | Alexander Hagg, Dominik Wilde, Alexander Asteroth, Thomas Bck |
| 2020 | The Hessian Estimation Evolution Strategy. | Tobias Glasmachers, Oswin Krause |
| 2020 | A Surrogate-Assisted Evolutionary Algorithm with Random Feature Selection for Large-Scale Expensive Problems. | Guoxia Fu, Chaoli Sun, Ying Tan, Guochen Zhang, Yaochu Jin |
| 2020 | Improving Sampling in Evolution Strategies Through Mixture-Based Distributions Built from Past Problem Instances. | Stephen Friess, Peter Tio, Stefan Menzel, Bernhard Sendhoff, Xin Yao |
| 2020 | The Usability Argument for Refinement Typed Genetic Programming. | Alcides Fonseca, Paulo Santos, Sara Silva |
| 2020 | An Ensemble Indicator-Based Density Estimator for Evolutionary Multi-objective Optimization. | Jess Guillermo Falcn-Cardona, Arnaud Liefooghe, Carlos A. Coello Coello |
| 2020 | Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations. | Marko Durasevic, Domagoj Jakobovic, Marcella Scoczynski Ribeiro Martins, Stjepan Picek, Markus Wagner |