Differential evolution for dynamic environments with unknown numbers of optima MC Du Plessis, AP Engelbrecht Journal of Global Optimization 55, 73-99, 2013 | 72 | 2013 |
Using competitive population evaluation in a differential evolution algorithm for dynamic environments MC Du Plessis, AP Engelbrecht European Journal of Operational Research 218 (1), 7-20, 2012 | 72 | 2012 |
Improved differential evolution for dynamic optimization problems MC du Plessis, AP Engelbrecht 2008 IEEE congress on evolutionary computation (IEEE World Congress on …, 2008 | 34 | 2008 |
Simulating robots without conventional physics: A neural network approach CJ Pretorius, MC du Plessis, CB Cilliers Journal of Intelligent & Robotic Systems 71, 319-348, 2013 | 31 | 2013 |
A comparison of neural networks and physics models as motion simulators for simple robotic evolution CJ Pretorius, MC du Plessis, JW Gonsalves 2014 IEEE Congress on Evolutionary Computation (CEC), 2793-2800, 2014 | 24 | 2014 |
A ZoomTree interface for searching genealogical information J Wesson, MC Plessis, C Oosthuizen Proceedings of the 3rd international conference on Computer graphics …, 2004 | 23 | 2004 |
Concurrent controller and simulator neural network development for a differentially-steered robot in evolutionary robotics GW Woodford, CJ Pretorius, MC du Plessis Robotics and Autonomous Systems 76, 80-92, 2016 | 19 | 2016 |
Towards an artificial neural network-based simulator for behavioural evolution in evolutionary robotics CJ Pretorius, MC du Plessis, CB Cilliers Proceedings of the 2009 Annual Research Conference of the South African …, 2009 | 18 | 2009 |
Dropout algorithms for recurrent neural networks N Watt, MC du Plessis Proceedings of the Annual Conference of the South African Institute of …, 2018 | 15 | 2018 |
A neural network-based kinematic and light-perception simulator for simple robotic evolution CJ Pretorius, MC du Plessis, CB Cilliers IEEE Congress on Evolutionary Computation, 1-8, 2010 | 15 | 2010 |
Neuroevolution of inverted pendulum control: a comparative study of simulation techniques CJ Pretorius, MC Du Plessis, JW Gonsalves Journal of Intelligent & Robotic Systems 86, 419-445, 2017 | 14 | 2017 |
Evolutionary robotics applied to hexapod locomotion: A comparative study of simulation techniques CJ Pretorius, MC du Plessis, JW Gonsalves Journal of Intelligent & Robotic Systems 96 (3), 363-385, 2019 | 12 | 2019 |
Evolving snake robot controllers using artificial neural networks as an alternative to a physics-based simulator GW Woodford, MC Du Plessis, CJ Pretorius 2015 IEEE Symposium Series on Computational Intelligence, 267-274, 2015 | 12 | 2015 |
Models towards a hybrid conversational agent for contact centres GR Sankar, J Greyling, D Vogts, MC du Plessis Proceedings of the 2008 annual research conference of the South African …, 2008 | 11 | 2008 |
Concurrent controller and Simulator Neural Network development for a snake-like robot in Evolutionary Robotics GW Woodford, MC du Plessis, CJ Pretorius Robotics and Autonomous Systems 88, 37-50, 2017 | 10 | 2017 |
Self-adaptive differential evolution for dynamic environments with fluctuating numbers of optima MC du Plessis, AP Engelbrecht Metaheuristics for Dynamic Optimization, 117-145, 2013 | 10 | 2013 |
Robotic snake simulation using ensembles of artificial neural networks in evolutionary robotics GW Woodford, MC du Plessis Proceedings of the Genetic and Evolutionary Computation Conference, 173-180, 2018 | 9 | 2018 |
A distributed ant-based algorithm for routing and wavelength assignment in an optical burst switching flexible spectrum network with transmission impairments AS Gravett, MC du Plessis, TB Gibbon Photonic Network Communications 34, 375-395, 2017 | 9 | 2017 |
Adaptive multi-population differential evolution for dynamic environments MC Du Plessis University of Pretoria, 2012 | 9 | 2012 |
Towards robot vision using deep neural networks in evolutionary robotics N Watt, MC du Plessis Evolutionary Intelligence 15 (1), 81-97, 2022 | 8 | 2022 |