M. D. Plessis

发表

Advances in Nature and Biologically Inspired Computing

Ajith Abraham, Andries P. Engelbrecht, Azah Kamilah Muda, 2016 .

Bootstrapped Neuro-Simulation for Damage Recovery in Complex Robots

Brydon A. Leonard, M. D. Plessis, 2022, 2022 IEEE Congress on Evolutionary Computation (CEC).

A distributed ant-based algorithm for routing and wavelength assignment in an optical burst switching flexible spectrum network with transmission impairments

Timothy B. Gibbon, Andrew S. Gravett, Mathys C. du Plessis, 2017, Photonic Network Communications.

Concurrent controller and Simulator Neural Network development for a differentially-steered robot in Evolutionary Robotics

Mathys C. du Plessis, Grant W. Woodford, Christiaan J. Pretorius, 2016, Robotics Auton. Syst..

Self-Adapting the Brownian Radius in a Differential Evolution Algorithm for Dynamic Environments

Andries Petrus Engelbrecht, André P. Calitz, Mathys C. du Plessis, 2015, FOGA.

Differential evolution for dynamic environments with unknown numbers of optima

A. Engelbrecht, M. D. Plessis, 2013, J. Glob. Optim..

Self-Adaptive Differential Evolution for Dynamic Environments with Fluctuating Numbers of Optima

Andries Petrus Engelbrecht, Mathys C. du Plessis, A. Engelbrecht, 2013, Metaheuristics for Dynamic Optimization.

Using Competitive Population Evaluation in a differential evolution algorithm for dynamic environments

Andries Petrus Engelbrecht, Mathys C. du Plessis, A. Engelbrecht, 2012, Eur. J. Oper. Res..

Improved differential evolution for dynamic optimization problems

Andries Petrus Engelbrecht, Mathys C. du Plessis, A. Engelbrecht, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Implementation and validation of an Omnet++ optical burst switching simulator

Timothy B. Gibbon, Mathys C. du Plessis, Joshua Oladipo, 2017, 2017 International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks (PEMWN).

Adaptive Navigation Strategies in Evolutionary Robotics Controllers with Location Perception

Mathys C. du Plessis, Antin Phillips, M. D. Plessis, 2021, 2021 IEEE Congress on Evolutionary Computation (CEC).

Towards robot vision using deep neural networks in evolutionary robotics

Mathys C. du Plessis, Nathan Watt, Mathys C. du Plessis, 2020, Evolutionary Intelligence.

Evolutionary Robotics Controllers with Proprioception Facilitated by Neural-Network-Based Simulators

M. D. Plessis, Antin Phillips, 2021, Artificial Life.

Dropout algorithms for recurrent neural networks

Mathys C. du Plessis, Nathan Watt, M. D. Plessis, 2018, SAICSIT.

Bootstrapped Neuro-Simulation as a method of concurrent neuro-evolution and damage recovery

Mathys C. du Plessis, Grant W. Woodford, Brydon A. Leonard, 2020, Robotics Auton. Syst..

Bootstrapped Neuro-Simulation for complex robots

Mathys C. du Plessis, Grant W. Woodford, M. D. Plessis, 2021, Robotics Auton. Syst..

Towards the Incorporation of Proprioception in Evolutionary Robotics Controllers

Antin Phillips, Mathys du Plessis, M. D. Plessis, 2019, 2019 Third IEEE International Conference on Robotic Computing (IRC).

Using Standard Components in Evolutionary Robotics to Produce an Inexpensive Robot Arm

Mathys C. du Plessis, Jéan H. Greyling, Michael W. Louwrens, 2015, NaBIC.

A ZoomTree interface for searching genealogical information

Mathys C. du Plessis, Janet Wesson, Craig Oosthuizen, 2004, AFRIGRAPH '04.

Does Chomsky complexity affect genetic programming computational requirements?

Mathys C. du Plessis, Clayton Burger, C. Burger, 2011, SAICSIT '11.

Incorporating layout managers into an evolutionary programming algorithm to design graphical user interfaces

Lynette Barnard, Mathys C. du Plessis, L. Barnard, 2008, SAICSIT '08.