Mathys C. du Plessis

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 26

Top Topics

Evolutionary Robotics

Robotic Navigation

Ant Colony Optimisation

Top Venues

Robotics Auton. Syst.

J. Intell. Robotic Syst.

Publications

Joshua Oladipo, Mathys C. du Plessis, Timothy B. Gibbon
Congestion aware ant colony optimisation algorithm for routing and spectrum assignment in flexi-grid optical burst switching networks. Photonic Netw. Commun. 45 (2) (2023)
Nathan Watt, Mathys C. du Plessis
Neuro-augmented vision for evolutionary robotics. Mach. Vis. Appl. 34 (5) (2023)
Nathan Watt, Mathys C. du Plessis
Towards robot vision using deep neural networks in evolutionary robotics. Evol. Intell. 15 (1) (2022)
Brydon A. Leonard, Mathys C. du Plessis
Bootstrapped Neuro-Simulation for Damage Recovery in Complex Robots. CEC (2022)
Mathys C. du Plessis, Antin P. Phillips, Christiaan J. Pretorius
Revisiting the Use of Noise in Evolutionary Robotics. SACAIR (2021)
Grant W. Woodford, Mathys C. du Plessis
Bootstrapped Neuro-Simulation for complex robots. Robotics Auton. Syst. 136 (2021)
Antin Phillips, Mathys C. du Plessis
Adaptive Navigation Strategies in Evolutionary Robotics Controllers with Location Perception. CEC (2021)
Bouwer Botha, Mathys C. du Plessis
Avoiding Unexpected Obstacles During Robotic Navigation Using Rapidly-Exploring Random Trees and a Neural Network Simulator. SACAIR (2021)
Brydon A. Leonard, Mathys C. du Plessis, Grant W. Woodford
Bootstrapped Neuro-Simulation as a method of concurrent neuro-evolution and damage recovery. Robotics Auton. Syst. 124 (2020)
Grant W. Woodford, Mathys C. du Plessis
Complex Morphology Neural Network Simulation in Evolutionary Robotics. Robotica 38 (5) (2020)
Antin Phillips, Mathys C. du Plessis
Evolutionary Robotics Controllers with Proprioception Facilitated by Neural-Network-Based Simulators. Artif. Life 26 (4) (2020)
Nathan Watt, Mathys C. du Plessis
Dropout for Recurrent Neural Networks. INNSBDDL (2019)
Christiaan J. Pretorius, Mathys C. du Plessis, John W. Gonsalves
Evolutionary Robotics Applied to Hexapod Locomotion: a Comparative Study of Simulation Techniques. J. Intell. Robotic Syst. 96 (3-4) (2019)
Antin Phillips, Mathys C. du Plessis
Towards the Incorporation of Proprioception in Evolutionary Robotics Controllers. IRC (2019)
Nathan Watt, Mathys C. du Plessis
Dropout algorithms for recurrent neural networks. SAICSIT (2018)
Grant W. Woodford, Mathys C. du Plessis
Robotic snake simulation using ensembles of artificial neural networks in evolutionary robotics. GECCO (2018)
Christiaan J. Pretorius, Mathys C. du Plessis, John W. Gonsalves
Neuroevolution of Inverted Pendulum Control: A Comparative Study of Simulation Techniques. J. Intell. Robotic Syst. 86 (3-4) (2017)
Grant W. Woodford, Mathys C. du Plessis, Christiaan J. Pretorius
Concurrent controller and Simulator Neural Network development for a snake-like robot in Evolutionary Robotics. Robotics Auton. Syst. 88 (2017)
Christiaan J. Pretorius, Mathys C. du Plessis, John W. Gonsalves
The transferability of evolved hexapod locomotion controllers from simulation to real hardware. RCAR (2017)
Andrew S. Gravett, Mathys C. du Plessis, Timothy B. Gibbon
A distributed ant-based algorithm for routing and wavelength assignment in an optical burst switching flexible spectrum network with transmission impairments. Photonic Netw. Commun. 34 (3) (2017)
Joshua Oladipo, Mathys C. du Plessis, Timothy B. Gibbon
Implementation and validation of an Omnet++ optical burst switching simulator. PEMWN (2017)
Grant W. Woodford, Christiaan J. Pretorius, Mathys C. du Plessis
Concurrent controller and Simulator Neural Network development for a differentially-steered robot in Evolutionary Robotics. Robotics Auton. Syst. 76 (2016)
Andrew S. Gravett, Mathys C. du Plessis, Timothy B. Gibbon
Hybridising Ant Colony Optimisation with a upper confidence bound algorithm for routing and wavelength assignment in an optical burst switching network. SSCI (2016)
Michael W. Louwrens, Mathys C. du Plessis, Jéan H. Greyling
Using Standard Components in Evolutionary Robotics to Produce an Inexpensive Robot Arm. NaBIC (2015)
Grant W. Woodford, Mathys C. du Plessis, Christiaan J. Pretorius
Evolving Snake Robot Controllers Using Artificial Neural Networks as an Alternative to a Physics-Based Simulator. SSCI (2015)
Mathys C. du Plessis, Andries P. Engelbrecht, André P. Calitz
Self-Adapting the Brownian Radius in a Differential Evolution Algorithm for Dynamic Environments. FOGA (2015)
Christiaan J. Pretorius, Mathys C. du Plessis, John W. Gonsalves
A comparison of neural networks and physics models as motion simulators for simple robotic evolution. IEEE Congress on Evolutionary Computation (2014)
Christiaan J. Pretorius, Mathys C. du Plessis, Charmain Cilliers
Simulating Robots Without Conventional Physics: A Neural Network Approach. J. Intell. Robotic Syst. 71 (3-4) (2013)
Mathys C. du Plessis, Andries P. Engelbrecht
Differential evolution for dynamic environments with unknown numbers of optima. J. Glob. Optim. 55 (1) (2013)
Clayton Burger, Mathys C. du Plessis, Charmain Cilliers
Design and parametric considerations for artificial neural network pruning in UCT game playing. SAICSIT (2013)
Mathys C. du Plessis, Andries P. Engelbrecht
Using Competitive Population Evaluation in a differential evolution algorithm for dynamic environments. Eur. J. Oper. Res. 218 (1) (2012)
Mathys C. du Plessis, Andries P. Engelbrecht
Self-adaptive competitive differential evolution for dynamic environments. SDE (2011)
Clayton Burger, Mathys C. du Plessis
Does Chomsky complexity affect genetic programming computational requirements? SAICSIT (2011)
Christiaan J. Pretorius, Mathys C. du Plessis, Charmain Cilliers
A Neural Network-based kinematic and light-perception simulator for simple robotic evolution. IEEE Congress on Evolutionary Computation (2010)
Meredith A. Barnes, Mathys C. du Plessis, Brenda Scholtz
Toward database inference by GUI analysis: a case study. SAICSIT (2010)
Mathys C. du Plessis
A hybrid neural network and Minimax algorithm for zero-sum games. SAICSIT (2009)
Christiaan J. Pretorius, Mathys C. du Plessis, Charmain Cilliers
Towards an artificial neural network-based simulator for behavioural evolution in evolutionary robotics. SAICSIT (2009)
Mathys C. du Plessis, Gideon de V. de Kock
Incorporating structured text retrieval into the extended Boolean model. Comput. Informatics 28 (5) (2009)
Mathys C. du Plessis, Andries P. Engelbrecht
Improved differential evolution for dynamic optimization problems. IEEE Congress on Evolutionary Computation (2008)
Gopal Ravi Sankar, Jéan H. Greyling, Dieter Vogts, Mathys C. du Plessis
Models towards a hybrid conversational agent for contact centres. SAICSIT (2008)
Mathys C. du Plessis, Lynette Barnard
Incorporating layout managers into an evolutionary programming algorithm to design graphical user interfaces. SAICSIT (2008)
Janet Wesson, Mathys C. du Plessis, Craig Oosthuizen
A ZoomTree interface for searching genealogical information. Afrigraph (2004)