| 2021 | Runtime analysis of RLS and the (1+1) EA for the chance-constrained knapsack problem with correlated uniform weights. | Yue Xie, Aneta Neumann, Frank Neumann, Andrew M. Sutton |
| 2021 | Heuristic strategies for solving complex interacting stockpile blending problem with chance constraints. | Yue Xie, Aneta Neumann, Frank Neumann |
| 2021 | Evolvability and complexity properties of the digital circuit genotype-phenotype map. | Alden H. Wright, Cheyenne L. Laue |
| 2021 | Genetic algorithm niching by (Quasi-)infinite memory. | Adrian Worring, Benjamin E. Mayer, Kay Hamacher |
| 2021 | Neurally guided transfer learning for genetic programming. | Alexander Wild, Barry Porter |
| 2021 | Quadratization of gray coded representations, long path problems and needle functions. | Darrell Whitley, Francisco Chicano, Hernn E. Aguirre |
| 2021 | Theoretical foundations of evolutionary computation for beginners and veterans. | Darrell Whitley |
| 2021 | Dynamic landscape analysis for open-ended stacking. | Bernhard Werth, Johannes Karder, Andreas Beham, Stefan Wagner |
| 2021 | Solving the paintshop scheduling problem with memetic algorithms. | Wolfgang Weintritt, Nysret Musliu, Felix Winter |
| 2021 | A new pathway to approximate energy expenditure and recovery of an athlete. | Fabian Clemens Weigend, Jason Siegler, Oliver Obst |
| 2021 | Concurrent model synchronisation with multiple objectives. | Nils Weidmann, Gregor Engels |
| 2021 | Two comprehensive performance metrics for overcoming the deficiencies of IGD and HV. | Liping Wang, Lin Zhang, Yu Ren, Qicang Qiu, Feiyue Qiu |
| 2021 | A transfer learning based evolutionary deep learning framework to evolve convolutional neural networks. | Bin Wang, Bing Xue, Mengjie Zhang |
| 2021 | Bridging kriging believer and expected improvement using bump hunting for expensive black-box optimization. | Bing Wang, Hemant Kumar Singh, Tapabrata Ray |
| 2021 | Evolving local interpretable model-agnostic explanations for deep neural networks in image classification. | Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang |
| 2021 | Pathogen dose based natural killer cell algorithm for classification. | Dongmei Wang, Yiwen Liang, Chengyu Tan, Hongbin Dong, Xinmin Yang |
| 2021 | Two-stage multi-objective genetic programming with archive for uncertain capacitated arc routing problem. | Shaolin Wang, Yi Mei, Mengjie Zhang |
| 2021 | Growing simulated robots with environmental feedback: an eco-evo-devo approach. | Kathryn Walker, Helmut Hauser, Sebastian Risi |
| 2021 | Adopting lexicase selection for michigan-style learning classifier systems with continuous-valued inputs. | Alexander R. M. Wagner, Anthony Stein |
| 2021 | Encoding the certainty of boolean variables to improve the guidance for search-based test generation. | Sebastian Vogl, Sebastian Schweikl, Gordon Fraser |
| 2021 | Model learning with personalized interpretability estimation (ML-PIE). | Marco Virgolin, Andrea De Lorenzo, Francesca Randone, Eric Medvet, Mattias Wahde |
| 2021 | Genetic programming is naturally suited to evolve bagging ensembles. | Marco Virgolin |
| 2021 | It's the journey not the destination: building genetic algorithms practitioners can trust. | Jakub Vincalek, Sean Peter Walton, Ben J. Evans |
| 2021 | Population network structure impacts genetic algorithm optimisation performance. | Aymeric Vi |
| 2021 | Is there anisotropy in structural bias? | Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bck |