Mathys C. du Plessis

45 papers A 2B 5C 2Journal 16Unranked 18

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Congestion aware ant colony optimisation algorithm for routing and spectrum assignment in flexi-grid optical burst switching networks. Photonic Netw. Commun. Joshua Oladipo, Mathys C. du Plessis, Timothy B. Gibbon
2023	J	`jnl`	Neuro-augmented vision for evolutionary robotics. Mach. Vis. Appl. Nathan Watt, Mathys C. du Plessis
2022	B	`conf`	Bootstrapped Neuro-Simulation for Damage Recovery in Complex Robots. CEC Brydon A. Leonard, Mathys C. du Plessis
2022	J	`jnl`	Towards robot vision using deep neural networks in evolutionary robotics. Evol. Intell. Nathan Watt, Mathys C. du Plessis
2021	B	`conf`	Adaptive Navigation Strategies in Evolutionary Robotics Controllers with Location Perception. CEC Antin Phillips, Mathys C. du Plessis
2021	—	`conf`	Avoiding Unexpected Obstacles During Robotic Navigation Using Rapidly-Exploring Random Trees and a Neural Network Simulator. SACAIR Bouwer Botha, Mathys C. du Plessis
2021	J	`jnl`	Bootstrapped Neuro-Simulation for complex robots. Robotics Auton. Syst. Grant W. Woodford, Mathys C. du Plessis
2021	—	`conf`	Revisiting the Use of Noise in Evolutionary Robotics. SACAIR Mathys C. du Plessis, Antin P. Phillips, Christiaan J. Pretorius
2020	J	`jnl`	Bootstrapped Neuro-Simulation as a method of concurrent neuro-evolution and damage recovery. Robotics Auton. Syst. Brydon A. Leonard, Mathys C. du Plessis, Grant W. Woodford
2020	J	`jnl`	Complex Morphology Neural Network Simulation in Evolutionary Robotics. Robotica Grant W. Woodford, Mathys C. du Plessis
2020	J	`jnl`	Evolutionary Robotics Controllers with Proprioception Facilitated by Neural-Network-Based Simulators. Artif. Life Antin Phillips, Mathys C. du Plessis
2019	C	`conf`	Ant Colony Optimization on an OBS Network with Link Cost and Impairments. ISDA François Du Plessis, Mathys C. du Plessis, Tim Gibbon
2019	—	`conf`	Dropout for Recurrent Neural Networks. INNSBDDL Nathan Watt, Mathys C. du Plessis
2019	J	`jnl`	Evolutionary Robotics Applied to Hexapod Locomotion: a Comparative Study of Simulation Techniques. J. Intell. Robotic Syst. Christiaan J. Pretorius, Mathys C. du Plessis, John W. Gonsalves
2019	—	`conf`	Towards the Incorporation of Proprioception in Evolutionary Robotics Controllers. IRC Antin Phillips, Mathys C. du Plessis
2018	—	`conf`	Dropout algorithms for recurrent neural networks. SAICSIT Nathan Watt, Mathys C. du Plessis
2018	A	`conf`	Robotic snake simulation using ensembles of artificial neural networks in evolutionary robotics. GECCO Grant W. Woodford, Mathys C. du Plessis
2017	J	`jnl`	A distributed ant-based algorithm for routing and wavelength assignment in an optical burst switching flexible spectrum network with transmission impairments. Photonic Netw. Commun. Andrew S. Gravett, Mathys C. du Plessis, Timothy B. Gibbon
2017	J	`jnl`	Concurrent controller and Simulator Neural Network development for a snake-like robot in Evolutionary Robotics. Robotics Auton. Syst. Grant W. Woodford, Mathys C. du Plessis, Christiaan J. Pretorius
2017	C	`conf`	Implementation and validation of an Omnet++ optical burst switching simulator. PEMWN Joshua Oladipo, Mathys C. du Plessis, Timothy B. Gibbon
2017	J	`jnl`	Neuroevolution of Inverted Pendulum Control: A Comparative Study of Simulation Techniques. J. Intell. Robotic Syst. Christiaan J. Pretorius, Mathys C. du Plessis, John W. Gonsalves
2017	—	`conf`	The transferability of evolved hexapod locomotion controllers from simulation to real hardware. RCAR Christiaan J. Pretorius, Mathys C. du Plessis, John W. Gonsalves
2016	—	`ed.`	Advances in Nature and Biologically Inspired Computing - Proceedings of the 7th World Congress on Nature and Biologically Inspired Computing (NaBIC 2015) in Pietermaritzburg, South Africa, held December 01-03, 2015 NaBIC Nelishia Pillay, Andries P. Engelbrecht, Ajith Abraham, Mathys C. du Plessis, Václav Snásel, Azah Kamilah Muda
2016	J	`jnl`	Concurrent controller and Simulator Neural Network development for a differentially-steered robot in Evolutionary Robotics. Robotics Auton. Syst. Grant W. Woodford, Christiaan J. Pretorius, Mathys C. du Plessis
2016	—	`conf`	Hybridising Ant Colony Optimisation with a upper confidence bound algorithm for routing and wavelength assignment in an optical burst switching network. SSCI Andrew S. Gravett, Mathys C. du Plessis, Timothy B. Gibbon
2015	—	`conf`	Evolving Snake Robot Controllers Using Artificial Neural Networks as an Alternative to a Physics-Based Simulator. SSCI Grant W. Woodford, Mathys C. du Plessis, Christiaan J. Pretorius
2015	A	`conf`	Self-Adapting the Brownian Radius in a Differential Evolution Algorithm for Dynamic Environments. FOGA Mathys C. du Plessis, Andries P. Engelbrecht, André P. Calitz
2015	—	`conf`	Using Standard Components in Evolutionary Robotics to Produce an Inexpensive Robot Arm. NaBIC Michael W. Louwrens, Mathys C. du Plessis, Jéan H. Greyling
2014	B	`conf`	A comparison of neural networks and physics models as motion simulators for simple robotic evolution. IEEE Congress on Evolutionary Computation Christiaan J. Pretorius, Mathys C. du Plessis, John W. Gonsalves
2013	—	`conf`	Design and parametric considerations for artificial neural network pruning in UCT game playing. SAICSIT Clayton Burger, Mathys C. du Plessis, Charmain Cilliers
2013	J	`jnl`	Differential evolution for dynamic environments with unknown numbers of optima. J. Glob. Optim. Mathys C. du Plessis, Andries P. Engelbrecht
2013	—	`ch.`	Self-Adaptive Differential Evolution for Dynamic Environments with Fluctuating Numbers of Optima. Metaheuristics for Dynamic Optimization Mathys C. du Plessis, Andries P. Engelbrecht
2013	J	`jnl`	Simulating Robots Without Conventional Physics: A Neural Network Approach. J. Intell. Robotic Syst. Christiaan J. Pretorius, Mathys C. du Plessis, Charmain Cilliers
2012	J	`jnl`	Using Competitive Population Evaluation in a differential evolution algorithm for dynamic environments. Eur. J. Oper. Res. Mathys C. du Plessis, Andries P. Engelbrecht
2011	—	`conf`	Does Chomsky complexity affect genetic programming computational requirements? SAICSIT Clayton Burger, Mathys C. du Plessis
2011	—	`conf`	Self-adaptive competitive differential evolution for dynamic environments. SDE Mathys C. du Plessis, Andries P. Engelbrecht
2010	B	`conf`	A Neural Network-based kinematic and light-perception simulator for simple robotic evolution. IEEE Congress on Evolutionary Computation Christiaan J. Pretorius, Mathys C. du Plessis, Charmain Cilliers
2010	—	`conf`	Toward database inference by GUI analysis: a case study. SAICSIT Meredith A. Barnes, Mathys C. du Plessis, Brenda Scholtz
2009	—	`conf`	A hybrid neural network and Minimax algorithm for zero-sum games. SAICSIT Mathys C. du Plessis
2009	J	`jnl`	Incorporating structured text retrieval into the extended Boolean model. Comput. Informatics Mathys C. du Plessis, Gideon de V. de Kock
2009	—	`conf`	Towards an artificial neural network-based simulator for behavioural evolution in evolutionary robotics. SAICSIT Christiaan J. Pretorius, Mathys C. du Plessis, Charmain Cilliers
2008	B	`conf`	Improved differential evolution for dynamic optimization problems. IEEE Congress on Evolutionary Computation Mathys C. du Plessis, Andries P. Engelbrecht
2008	—	`conf`	Incorporating layout managers into an evolutionary programming algorithm to design graphical user interfaces. SAICSIT Mathys C. du Plessis, Lynette Barnard
2008	—	`conf`	Models towards a hybrid conversational agent for contact centres. SAICSIT Gopal Ravi Sankar, Jéan H. Greyling, Dieter Vogts, Mathys C. du Plessis
2004	—	`conf`	A ZoomTree interface for searching genealogical information. Afrigraph Janet Wesson, Mathys C. du Plessis, Craig Oosthuizen