Interactive Storytelling with Virtual Identities. - Mardé Greeff; Vali Lalioti (EGVE/IPT, 2001)

Interactive Cultural Experiences Using Virtual Identities. - Mardé Greeff; Vali Lalioti (ICHIM (1), 2001)

Nailing and Pinning: Adding Constraints to Inverse Kinematics . - Mardé Greeff; Jörg Haber; Hans-Peter Seidel (WSCG (Short Papers), 2005)

Solving dynamic multi-objective problems with vector evaluated particle swarm optimisation. - Mardé Greeff; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2008)

Usability evaluation of the South African National Accessibility Portal interactive voice response system. - Mardé Greeff; Louis Coetzee; Martin Pistorius (SAICSIT, 2008)

A lightweight methodology to improve web accessibility. - Mardé Greeff; Paula Kotzé (SAICSIT, 2009)

Determining the user profile for an adaptable training platform. - Mardé Greeff; Quentin Williams; Ronéll Alberts; Harriet Pretorius (SAICSIT, 2010)

Dynamic Multi-objective Optimisation Using PSO. - Mardé Greeff; Andries P. Engelbrecht (Multi-Objective Swarm Intelligent System, 2010)

Archive management for dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation. - Mardé Helbig; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2011)

Analyses of guide update approaches for vector evaluated particle swarm optimisation on dynamic multi-objective optimisation problems. - Mardé Helbig; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2012)

Analysing the performance of dynamic multi-objective optimisation algorithms. - Mardé Helbig; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2013)

Issues with performance measures for dynamic multi-objective optimisation. - Mardé Helbig; Andries P. Engelbrecht (CIDUE, 2013)

Benchmarks for dynamic multi-objective optimisation. - Mardé Helbig; Andries P. Engelbrecht (CIDUE, 2013)

Performance measures for dynamic multi-objective optimisation algorithms. - Mardé Helbig; Andries P. Engelbrecht (Inf. Sci., 2013)

Dynamic Multi-Objective Optimization Using PSO. - Mardé Helbig; Andries P. Engelbrecht (Metaheuristics for Dynamic Optimization, 2013)

Heterogeneous dynamic vector evaluated particle swarm optimisation for dynamic multi-objective optimisation. - Mardé Helbig; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2014)

Using heterogeneous knowledge sharing strategies with dynamic vector-evaluated particle swarm optimisation. - Mardé Helbig; Andries P. Engelbrecht (SIS, 2014)

Benchmarks for dynamic multi-objective optimisation algorithms. - Mardé Helbig; Andries P. Engelbrecht (ACM Comput. Surv., 2014)

Population-based metaheuristics for continuous boundary-constrained dynamic multi-objective optimisation problems. - Mardé Helbig; Andries P. Engelbrecht (Swarm Evol. Comput., 2014)

Influence of the archive size on the performance of the dynamic vector evaluated particle swarm optimisation algorithm solving dynamic multi-objective optimisation problems. - Mardé Helbig; Andries P. Engelbrecht (CEC, 2015)

The Effect of Quantum and Charged Particles on the Performance of the Dynamic Vector-evaluated Particle Swarm Optimisation Algorithm. - Mardé Helbig; Andries P. Engelbrecht (GECCO, 2015)

Updating the Global Best and Archive Solutions of the Dynamic Vector-Evaluated PSO Algorithm Using epsilon ϵ -dominance. - Mardé Helbig (NaBIC, 2015)

Using Headless Chicken Crossover for Local Guide Selection When Solving Dynamic Multi-objective Optimization. - Mardé Helbig; Andries P. Engelbrecht (NaBIC, 2015)

Dynamic Vector-Evaluated PSO with Guaranteed Convergence in the Sub-Swarms. - Mardé Helbig; Andries P. Engelbrecht (SSCI, 2015)

Key challenges and future directions of dynamic multi-objective optimisation. - Mardé Helbig; Kalyanmoy Deb; Andries P. Engelbrecht (CEC, 2016)

Search space boundaries in neural network error landscape analysis. - Anna Sergeevna Bosman; Andries P. Engelbrecht; Mardé Helbig (SSCI, 2016)

Padding the dimensions for knowledge transfer in the dynamic vector evaluated particle swarm optimisation algorithm. - Mardé Helbig (SSCI, 2016)

Heterogeneous Vector-Evaluated Particle Swarm Optimisation in Static Environments. - Dieter Doman; Mardé Helbig; Andries P. Engelbrecht (ICSI (1), 2016)

A differential evolution algorithm for dynamic multi-objective optimization. - R. Adekoya Adekunle; Mardé Helbig (SSCI, 2017)

Solving Inverse Kinematics with Vector Evaluated Particle Swarm Optimization. - Zühnja Riekert; Mardé Helbig (ICSI (1), 2017)

Solving Constrained Multi-objective Optimization Problems with Evolutionary Algorithms. - Frikkie Snyman; Mardé Helbig (ICSI (2), 2017)

Progressive gradient walk for neural network fitness landscape analysis. - Anna Sergeevna Bosman; Andries P. Engelbrecht; Mardé Helbig (GECCO (Companion), 2018)

Visualising the search process for multi-objective optimisation. - Mardé Helbig (GECCO (Companion), 2018)

Visualizing the Optimization Process for Multi-objective Optimization Problems. - Bayanda Chakuma; Mardé Helbig (ICAISC (1), 2018)

Comparison of Constraint Handling Approaches in Multi-objective Optimization. - Rohan Hemansu Chhipa; Mardé Helbig (ICAISC (1), 2018)

Deriving Functions for Pareto Optimal Fronts Using Genetic Programming. - Armand Maree; Marius Riekert; Mardé Helbig (ICAISC (1), 2018)

Dynamic Particle Swarm Optimization for Financial Markets. - Frederick Ditliac Atiah; Mardé Helbig (SSCI, 2018)

Fitness Landscape Analysis of Weight-Elimination Neural Networks. - Anna S. Bosman; Andries P. Engelbrecht; Mardé Helbig (Neural Process. Lett., 2018)

Effects of Decision Models on Dynamic Multi-objective Optimization Algorithms for Financial Markets. - Frederick Ditliac Atiah; Mardé Helbig (CEC, 2019)

Performance of dynamic algorithms on the dynamic distance minimization problem. - Mardé Helbig; Heiner Zille; Mahrokh Javadi; Sanaz Mostaghim (GECCO (Companion), 2019)

Dynamic Multi-objective Optimisation Problems with Intertemporal Dependencies. - Bernard van Tonder; Mardé Helbig (GECCO Companion, 2020)

Loss Surface Modality of Feed-Forward Neural Network Architectures. - Anna Sergeevna Bosman; Andries P. Engelbrecht; Mardé Helbig (IJCNN, 2020)

Empirical Analysis of A Partial Dominance Approach to Many-Objective Optimisation. - Andries P. Engelbrecht; Mardé Helbig (ISMSI, 2020)

Partial Dominance for Many-Objective Optimization. - Mardé Helbig; Andries P. Engelbrecht (ISMSI, 2020)

Weather Downtime Prediction in a South African Port Environment. - Nyiko Cecil Musisinyani; Jacomine Grobler; Mardé Helbig (SGAI Conf., 2020)

Visualising basins of attraction for the cross-entropy and the squared error neural network loss functions. - Anna Sergeevna Bosman; Andries P. Engelbrecht; Mardé Helbig (Neurocomputing, 2020)

Cyber Security Maturity Model Capability at The Airports. - Ojaswini Malhotra; Sharmistha Dey; Ernest Foo; Mardé Helbig (ACIS, 2021)

Dynamic multi-objective optimization: introduction, challenges, applications and future directions. - Mardé Helbig (GECCO Companion, 2021)

Cybersecurity Maturity Model Capability in Aviation and Railway Industry. - Ojaswini Malhotra; Sharmistha Dey; Ernest Foo; Mardé Helbig (ACIS, 2022)

Empirical Loss Landscape Analysis of Neural Network Activation Functions. - Anna Sergeevna Bosman; Andries P. Engelbrecht; Mardé Helbig (GECCO Companion, 2023)

Decision-Maker's Preference-Driven Dynamic Multi-Objective Optimization. - Adekunle Rotimi Adekoya; Mardé Helbig (Algorithms, 2023)

Dynamic Multi-objective Optimisation Problems with Changes of Varying Frequency and Severity. - Mardé Helbig (CEC, 2024)

Visualising Found Solutions and Measures for Dynamic Multi-objective Optimisation. - Mardé Helbig (GECCO Companion, 2024)

Solving many-objective optimisation problems using partial dominance. - Mardé Helbig; Andries P. Engelbrecht (Neural Comput. Appl., 2025)