| 2022 | CEC | Bootstrapped Neuro-Simulation for Damage Recovery in Complex Robots. | Brydon A. Leonard, Mathys C. du Plessis |
| 2021 | CEC | Adaptive Navigation Strategies in Evolutionary Robotics Controllers with Location Perception. | Antin Phillips, Mathys C. du Plessis |
| 2019 | ISDA | Ant Colony Optimization on an OBS Network with Link Cost and Impairments. | Franois Du Plessis, Mathys C. du Plessis, Tim Gibbon |
| 2018 | GECCO | Robotic snake simulation using ensembles of artificial neural networks in evolutionary robotics. | Grant W. Woodford, Mathys C. du Plessis |
| 2017 | PEMWN | Implementation and validation of an Omnet++ optical burst switching simulator. | Joshua Oladipo, Mathys C. du Plessis, Timothy B. Gibbon |
| 2015 | FOGA | Self-Adapting the Brownian Radius in a Differential Evolution Algorithm for Dynamic Environments. | Mathys C. du Plessis, Andries P. Engelbrecht, Andr P. Calitz |
| 2014 | CEC | A comparison of neural networks and physics models as motion simulators for simple robotic evolution. | Christiaan J. Pretorius, Mathys C. du Plessis, John W. Gonsalves |
| 2010 | CEC | A Neural Network-based kinematic and light-perception simulator for simple robotic evolution. | Christiaan J. Pretorius, Mathys C. du Plessis, Charmain Cilliers |
| 2008 | CEC | Improved differential evolution for dynamic optimization problems. | Mathys C. du Plessis, Andries P. Engelbrecht |