| 2024 | CEC | Varying Difficulty of Knowledge Reuse in Benchmarks for Evolutionary Knowledge Transfer. | Eric O. Scott, Kenneth A. De Jong |
| 2024 | CEC | Realistic Tax Planning with Evolutionary Algorithms. | Eric O. Scott, Anmol Srivastava, Abby Pusateri, Andy Taylor, Karen Jones, Hahnemann Ortiz |
| 2023 | FOGA | First Complexity Results for Evolutionary Knowledge Transfer. | Eric O. Scott, Kenneth A. De Jong |
| 2023 | GECCO | Initialization Matters for Asynchronous Steady-State Evolutionary Algorithms. | Eric O. Scott, Kenneth A. De Jong |
| 2023 | GECCO | Evolving Deformable Mirror Control to Generate Partially Coherent Light Fields. | Daniel Younis, Thomas M. Antonsen Jr., Luke A. Johnson, Eric O. Scott, Dmitri Kaganovich, Bahman Hafizi |
| 2021 | GECCO | Neuroevolution of a recurrent neural network for spatial and working memory in a simulated robotic environment. | Xinyun Zou, Eric O. Scott, Alexander B. Johnson, Kexin Chen, Douglas A. Nitz, Kenneth A. De Jong, Jeffrey L. Krichmar |
| 2021 | IJCNN | Differential Spatial Representations in Hippocampal CA1 and Subiculum Emerge in Evolved Spiking Neural Networks. | Kexin Chen, Alexander B. Johnson, Eric O. Scott, Xinyun Zou, Kenneth A. De Jong, Douglas A. Nitz, Jeffrey L. Krichmar |
| 2020 | GECCO | Library for evolutionary algorithms in Python (LEAP). | Mark Coletti, Eric O. Scott, Jeffrey K. Bassett |
| 2020 | PAAMS | Assisted Parameter and Behavior Calibration in Agent-Based Models with Distributed Optimization. | Matteo D'Auria, Eric O. Scott, Rajdeep Singh Lather, Javier Hilty, Sean Luke |
| 2019 | CEC | Automating Knowledge Transfer with Multi-Task Optimization. | Eric O. Scott, Kenneth A. De Jong |
| 2019 | GECCO | ECJ at 20: toward a general metaheuristics toolkit. | Eric O. Scott, Sean Luke |
| 2018 | GECCO | Toward learning neural network encodings for continuous optimization problems. | Eric O. Scott, Kenneth A. De Jong |
| 2017 | GECCO | Multitask evolution with cartesian genetic programming. | Eric O. Scott, Kenneth A. De Jong |
| 2016 | GECCO | Evaluation-Time Bias in Quasi-Generational and Steady-State Asynchronous Evolutionary Algorithms. | Eric O. Scott, Kenneth A. De Jong |
| 2016 | PPSN | An Evolutionary Framework for Replicating Neurophysiological Data with Spiking Neural Networks. | Emily L. Rounds, Eric O. Scott, Andrew S. Alexander, Kenneth A. De Jong, Douglas A. Nitz, Jeffrey L. Krichmar |
| 2016 | PPSN | Landscape Features for Computationally Expensive Evaluation Functions: Revisiting the Problem of Noise. | Eric O. Scott, Kenneth A. De Jong |
| 2015 | FOGA | Understanding Simple Asynchronous Evolutionary Algorithms. | Eric O. Scott, Kenneth A. De Jong |
| 2015 | GECCO | Learning Genetic Representations for Classes of Real-Valued Optimization Problems. | Eric O. Scott, Jeffrey K. Bassett |
| 2015 | GECCO | Evaluation-Time Bias in Asynchronous Evolutionary Algorithms. | Eric O. Scott, Kenneth A. De Jong |