| 2021 | CEC | Multi-Objective Hyperparameter Optimization for Spiking Neural Network Neuroevolution. | Maryam Parsa, Shruti R. Kulkarni, Mark Coletti, Jeffrey K. Bassett, J. Parker Mitchell, Catherine D. Schuman |
| 2020 | GECCO | Library for evolutionary algorithms in Python (LEAP). | Mark Coletti, Eric O. Scott, Jeffrey K. Bassett |
| 2019 | SC | Evolving Larger Convolutional Layer Kernel Sizes for a Settlement Detection Deep-Learner on Summit. | Mark Coletti, Dalton D. Lunga, Jeffrey K. Bassett, Amy N. Rose |
| 2015 | GECCO | Learning Genetic Representations for Classes of Real-Valued Optimization Problems. | Eric O. Scott, Jeffrey K. Bassett |
| 2012 | GECCO | A new methodology for the GP theory toolbox. | Jeffrey K. Bassett, Uday Kamath, Kenneth A. De Jong |
| 2009 | GECCO | The relationship between evolvability and bloat. | Jeffrey K. Bassett, Mark Coletti, Kenneth A. De Jong |
| 2005 | GECCO | Applying price's equation to survival selection. | Jeffrey K. Bassett, Mitchell A. Potter, Kenneth A. De Jong |
| 2004 | GECCO | Looking Under the EA Hood with Price's Equation. | Jeffrey K. Bassett, Mitchell A. Potter, Kenneth A. De Jong |
| 2003 | CEC | Visualizing evolvability with Price's equation. | Mitchell A. Potter, Jeffrey K. Bassett, Kenneth A. De Jong |
| 2000 | ISMIS | Evolving Behaviors for Cooperating Agents. | Jeffrey K. Bassett, Kenneth A. De Jong |