| 2025 | IWANN | Forecasting Non-stationary Time Series: A Comparison of Deep and Shallow Neural Network Architectures. | Takudzwa Masunungure, Andries P. Engelbrecht |
| 2025 | IWANN | Incremental Feature Learning of Shallow Feedforward Regression Neural Networks Using Particle Swarm Optimisation. | Ross W. Nayler, Andries P. Engelbrecht |
| 2025 | IWANN | Self-organizing Maps for Missing Value Imputation in Transcriptomic Datasets. | Louzanne Swart, Andries P. Engelbrecht, Lyn-Mari Birkholtz |
| 2024 | AI | Stochastic Grouping and Subspace-Based Initialization in Decomposition and Merging Cooperative Particle Swarm Optimization for Large-Scale Optimization Problems. | Zachary McGovarin, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman |
| 2023 | GECCO | Empirical Loss Landscape Analysis of Neural Network Activation Functions. | Anna Sergeevna Bosman, Andries P. Engelbrecht, Mard Helbig |
| 2023 | GECCO | How to Tell a Fish from a Bee: Constructing Meta-Heuristic Search Behaviour Characteristics. | Lauren Hayward, Andries P. Engelbrecht |
| 2022 | CEC | Dynamic Multi-objective Optimisation Using Multi-guide Particle Swarm Optimisation. | Pawel Jocko, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht |
| 2022 | CEC | Rule Induction Using Set-Based Particle Swarm Optimisation. | Jean-Pierre van Zyl, Andries P. Engelbrecht |
| 2021 | CEC | Predicting Particle Swarm Optimization Control Parameters From Fitness Landscape Characteristics. | Cody Dennis, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht |
| 2021 | CEC | Visualizing and Characterizing the Parameter Configuration Landscape of Particle Swarm Optimization using Physical Landform Classification. | Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht |
| 2021 | CEC | Decision Space Scalability Analysis of Multi-Objective Particle Swarm Optimization Algorithms. | Amirali Madani, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht |
| 2021 | GECCO | Recent advances in particle swarm optimization analysis and understanding 2021. | Andries P. Engelbrecht, Christopher W. Cleghorn |
| 2021 | IWANN | Learning to Trade from Zero-Knowledge Using Particle Swarm Optimization. | Stefan van Deventer, Andries P. Engelbrecht |
| 2021 | IWANN | Impacted Tooth Detection in Panoramic Radiographs. | James Faure, Andries P. Engelbrecht |
| 2020 | CEC | A Review and Empirical Analysis of Particle Swarm optimization Algorithms for Dynamic Multi-Modal optimization. | Simon Dennis, Andries P. Engelbrecht |
| 2020 | CEC | Decision Space Coverage of Random Walks. | Ryan Dieter Lang, Andries P. Engelbrecht |
| 2020 | CEC | Heuristic Space Diversity Measures for Population-based Hyper-heuristics. | Stefan van der Stockt, Andries P. Engelbrecht, Christopher W. Cleghorn |
| 2020 | GECCO | Recent advances in particle swarm optimization analysis and understanding. | Andries P. Engelbrecht, Christopher W. Cleghorn |
| 2020 | GECCO | Distributed random walks for fitness landscape analysis. | Ryan Dieter Lang, Andries P. Engelbrecht |
| 2020 | IJCNN | Loss Surface Modality of Feed-Forward Neural Network Architectures. | Anna Sergeevna Bosman, Andries P. Engelbrecht, Mard Helbig |
| 2020 | SMC | Swarm Based Algorithms for Neural Network Training. | Reginald McLean, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht |
| 2019 | CEC | The Parameter Configuration Landscape: A Case Study on Particle Swarm Optimization. | Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht |
| 2019 | GECCO | Recent advances in particle swarm optimization analysis and understanding. | Andries P. Engelbrecht, Christopher Wesley Cleghorn |
| 2019 | GECCO | Control parameter sensitivity analysis of the multi-guide particle swarm optimization algorithm. | Kyle Erwin, Andries P. Engelbrecht |
| 2019 | GECCO | Evolutionary and swarm-intelligence algorithms through monadic composition. | Gary Pampar, Andries P. Engelbrecht |
| 2019 | GECCO | A generator for dynamically constrained optimization problems. | Gary Pampar, Andries P. Engelbrecht |
| 2018 | GECCO | Progressive gradient walk for neural network fitness landscape analysis. | Anna Sergeevna Bosman, Andries P. Engelbrecht, Mard Helbig |
| 2018 | GECCO | Particle swarm optimization: a guide to effective, misconception free, real world use. | Andries P. Engelbrecht, Christopher Wesley Cleghorn |
| 2018 | GECCO | Filter versus wrapper feature selection based on problem landscape features. | Werner Mostert, Katherine M. Malan, Andries P. Engelbrecht |
| 2018 | IJCNN | Multimodal Emotion Recognition using Deep Continuous Conditional Recurrent Neural Fields. | Ntombikayise Banda, Andries P. Engelbrecht |
| 2017 | CEC | Optimal parameter regions for particle swarm optimization algorithms. | Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht |
| 2017 | CEC | Vector evaluated particle swarm optimization: The archive's influence on performance. | Christiaan Scheepers, Andries P. Engelbrecht |
| 2017 | GECCO | Fitness-distance-ratio particle swarm optimization: stability analysis. | Christopher Wesley Cleghorn, Andries P. Engelbrecht |
| 2016 | CEC | Unified particle swarm optimizer: Convergence analysis. | Christopher Wesley Cleghorn, Andries P. Engelbrecht |
| 2016 | CEC | The sad state of self-adaptive particle swarm optimizers. | Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman |
| 2016 | CEC | A radius-free quantum particle swarm optimization technique for dynamic optimization problems. | Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht |
| 2016 | CEC | Key challenges and future directions of dynamic multi-objective optimisation. | Mard Helbig, Kalyanmoy Deb, Andries P. Engelbrecht |
| 2016 | CEC | Pareto-based many-objective optimization using knee points. | Justin Maltese, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht |
| 2016 | CEC | Performance measures for niching algorithms. | Jonathan Mwaura, Andries P. Engelbrecht, Filipe V. Nepocumeno |
| 2016 | CEC | Analysis of error landscapes in multi-layered neural networks for classification. | Anna S. Rakitianskaia, Eduan Bekker, Katherine M. Malan, Andries P. Engelbrecht |
| 2016 | CEC | Vector evaluated particle swarm optimization exploration behavior part I: Explorative analysis. | Christiaan Scheepers, Andries P. Engelbrecht |
| 2016 | CEC | Vector evaluated particle swarm optimization exploration behavior part II: Quantitative analysis. | Christiaan Scheepers, Andries P. Engelbrecht |
| 2016 | CEC | Analysis of activation functions for particle swarm optimised feedforward neural networks. | Andrich B. van Wyk, Andries P. Engelbrecht |
| 2016 | CEC | Group-based stochastic scaling for PSO velocities. | E. T. van Zyl, Andries P. Engelbrecht |
| 2015 | ACII | Continuous emotion recognition using a particle swarm optimized NARX neural network. | Ntombikayise Banda, Andries P. Engelbrecht, Peter Robinson |
| 2015 | CEC | Evaluating landscape characteristics of dynamic benchmark functions. | Ron Bond, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman |
| 2015 | CEC | Fully informed particle swarm optimizer: Convergence analysis. | Christopher Wesley Cleghorn, Andries P. Engelbrecht |
| 2015 | CEC | Vector-evaluated particle swarm optimization with local search. | Derek Dibblee, Justin Maltese, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht |
| 2015 | CEC | Influence of the archive size on the performance of the dynamic vector evaluated particle swarm optimisation algorithm solving dynamic multi-objective optimisation problems. | Mard Helbig, Andries P. Engelbrecht |
| 2015 | CEC | Characterising constrained continuous optimisation problems. | Katherine M. Malan, Johannes F. Oberholzer, Andries P. Engelbrecht |
| 2015 | CEC | Saturation in PSO neural network training: Good or evil? | Anna S. Rakitianskaia, Andries P. Engelbrecht |
| 2015 | CEC | Analysis of global information sharing in hyper-heuristics for different dynamic environments. | Stefan van der Stockt, Andries P. Engelbrecht |
| 2015 | FOGA | Self-Adapting the Brownian Radius in a Differential Evolution Algorithm for Dynamic Environments. | Mathys C. du Plessis, Andries P. Engelbrecht, Andr P. Calitz |
| 2015 | GECCO | Particle Swarm Optimization. | Andries P. Engelbrecht |
| 2015 | GECCO | The Effect of Quantum and Charged Particles on the Performance of the Dynamic Vector-evaluated Particle Swarm Optimisation Algorithm. | Mard Helbig, Andries P. Engelbrecht |
| 2014 | CEC | Particle swarm convergence: An empirical investigation. | Christopher Wesley Cleghorn, Andries P. Engelbrecht |
| 2014 | CEC | Analysis and classification of optimisation benchmark functions and benchmark suites. | Robert W. Garden, Andries P. Engelbrecht |
| 2014 | CEC | Cooperative DynDE for temporal data clustering. | Kristina S. Georgieva, Andries P. Engelbrecht |
| 2014 | CEC | Heuristic space diversity management in a meta-hyper-heuristic framework. | Jacomine Grobler, Andries P. Engelbrecht, Graham Kendall, Venkata S. S. Yadavalli |
| 2014 | CEC | Dynamic multi-objective optimization using charged vector evaluated particle swarm optimization. | Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht |
| 2014 | CEC | Heterogeneous dynamic vector evaluated particle swarm optimisation for dynamic multi-objective optimisation. | Mard Helbig, Andries P. Engelbrecht |
| 2014 | CEC | Parameter optimization by means of statistical quality guides in F-Race. | Ronald Klazar, Andries P. Engelbrecht |
| 2014 | CEC | A progressive random walk algorithm for sampling continuous fitness landscapes. | Katherine M. Malan, Andries P. Engelbrecht |
| 2014 | CEC | Carry trade portfolio optimization using particle swarm optimization. | Stuart G. Reid, Katherine M. Malan, Andries P. Engelbrecht |
| 2014 | CEC | Competitive coevolutionary training of simple soccer agents from zero knowledge. | Christiaan Scheepers, Andries P. Engelbrecht |
| 2014 | GECCO | Particle swarm optimization. | Andries P. Engelbrecht |
| 2014 | IJCNN | Training high-dimensional neural networks with cooperative particle swarm optimiser. | Anna S. Rakitianskaia, Andries P. Engelbrecht |
| 2013 | CEC | Particle swarm optimization with discrete crossover. | Andries P. Engelbrecht |
| 2013 | CEC | A cooperative multi-population approach to clustering temporal data. | Kristina Georgieva, Andries P. Engelbrecht |
| 2013 | CEC | Multi-method algorithms: Investigating the entity-to-algorithm allocation problem. | Jacomine Grobler, Andries P. Engelbrecht, Graham Kendall, Venkata S. S. Yadavalli |
| 2013 | CEC | A scalability study of multi-objective particle swarm optimizers. | Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman |
| 2013 | CEC | Analysing the performance of dynamic multi-objective optimisation algorithms. | Mard Helbig, Andries P. Engelbrecht |
| 2013 | CEC | On the optimality of particle swarm parameters in dynamic environments. | Barend J. Leonard, Andries P. Engelbrecht |
| 2013 | CEC | Ruggedness, funnels and gradients in fitness landscapes and the effect on PSO performance. | Katherine M. Malan, Andries P. Engelbrecht |
| 2013 | CEC | A self-adaptive heterogeneous pso for real-parameter optimization. | Filipe V. Nepomuceno, Andries P. Engelbrecht |
| 2013 | EMO | Knowledge Transfer Strategies for Vector Evaluated Particle Swarm Optimization. | Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht |
| 2013 | GECCO | Steep gradients as a predictor of PSO failure. | Katherine M. Malan, Andries P. Engelbrecht |
| 2012 | CEC | Towards a more complete classification system for dynamically changing environments. | Julien G. O. L. Duhain, Andries P. Engelbrecht |
| 2012 | CEC | Particle swarm optimization: Velocity initialization. | Andries P. Engelbrecht |
| 2012 | CEC | Investigating the use of local search for improving meta-hyper-heuristic performance. | Jacomine Grobler, Andries P. Engelbrecht, Graham Kendall, Venkata S. S. Yadavalli |
| 2012 | CEC | Analyses of guide update approaches for vector evaluated particle swarm optimisation on dynamic multi-objective optimisation problems. | Mard Helbig, Andries P. Engelbrecht |
| 2011 | CEC | The sensitivity of single objective optimization algorithm control parameter values under different computational constraints. | Antoine S. D. Dymond, Andries P. Engelbrecht, P. Stephan Heyns |
| 2011 | CEC | Investigating the impact of alternative evolutionary selection strategies on multi-method global optimization. | Jacomine Grobler, Andries P. Engelbrecht, Graham Kendall, Venkata S. S. Yadavalli |
| 2011 | CEC | Archive management for dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation. | Mard Helbig, Andries P. Engelbrecht |
| 2011 | ICNC | Assessment of the "Evaluation" function in the simulated evolution algorithm. | Salman A. Khan, Andries P. Engelbrecht |
| 2010 | CEC | Alternative hyper-heuristic strategies for multi-method global optimization. | Jacomine Grobler, Andries P. Engelbrecht, Graham Kendall, Venkata S. S. Yadavalli |
| 2010 | CEC | Swarm Tetris: Applying particle swarm optimization to tetris. | Leo Langenhoven, Willem S. van Heerden, Andries P. Engelbrecht |
| 2010 | CEC | Overfitting by PSO trained feedforward neural networks. | Andrich B. van Wyk, Andries P. Engelbrecht |
| 2009 | CEC | Employing the flocking behavior of birds for controlling congestion in autonomous decentralized networks. | Pavlos Antoniou, Andreas Pitsillides, Tim Blackwell, Andries P. Engelbrecht |
| 2009 | CEC | Hybridizing PSO and DE for improved vector evaluated multi-objective optimization. | Jacomine Grobler, Andries P. Engelbrecht |
| 2009 | CEC | Quantifying ruggedness of continuous landscapes using entropy. | Katherine M. Malan, Andries P. Engelbrecht |
| 2009 | CEC | An analysis of heterogeneous cooperative algorithms. | Olusegun Olorunda, Andries P. Engelbrecht |
| 2009 | CEC | Free Search Differential Evolution. | Mahamed G. H. Omran, Andries P. Engelbrecht |
| 2009 | CEC | Training neural networks with PSO in dynamic environments. | Anna S. Rakitianskaia, Andries P. Engelbrecht |
| 2009 | CEC | Adaptive Genetic Programming for dynamic classification problems. | Marius Riekert, Katherine M. Malan, Andries P. Engelbrecht |
| 2009 | CEC | Scalability of the vector-based Particle Swarm Optimizer. | Isabella Lona Schoeman, Andries P. Engelbrecht |
| 2009 | CIDM | HybridSOM: A generic rule extraction framework for self-organizing feature maps. | Willem S. van Heerden, Andries P. Engelbrecht |
| 2009 | IWANN | Implementation of Binary Particle Swarm Optimization for DNA Sequence Design. | Noor Khafifah Khalid, Zuwairie Ibrahim, Tri Basuki Kurniawan, Marzuki Khalid, Andries P. Engelbrecht |
| 2008 | CEC | Towards a self regulating local network neighbourhood artificial immune system for data clustering. | A. J. Graaff, Andries P. Engelbrecht |
| 2008 | CEC | Solving dynamic multi-objective problems with vector evaluated particle swarm optimisation. | Mard Greeff, Andries P. Engelbrecht |
| 2008 | CEC | Multi-objective DE and PSO strategies for production scheduling. | Jacomine Grobler, Andries P. Engelbrecht, Venkata S. S. Yadavalli |
| 2008 | CEC | Algorithm comparisons and the significance of population size. | Katherine M. Malan, Andries P. Engelbrecht |
| 2008 | CEC | Measuring exploration/exploitation in particle swarms using swarm diversity. | Olusegun Olorunda, Andries P. Engelbrecht |
| 2008 | CEC | Improved differential evolution for dynamic optimization problems. | Mathys C. du Plessis, Andries P. Engelbrecht |
| 2008 | CEC | Cooperative charged particle swarm optimiser. | Anna S. Rakitianskaia, Andries P. Engelbrecht |
| 2008 | IJCNN | CIlib: A collaborative framework for Computational Intelligence algorithms - Part II. | T. Cloete, Andries P. Engelbrecht, Gary Pampara |
| 2008 | IJCNN | A comparison of map neuron labeling approaches for unsupervised self-organizing feature maps. | Willem S. van Heerden, Andries P. Engelbrecht |
| 2008 | IJCNN | CIlib: A collaborative framework for Computational Intelligence algorithms - Part I. | Gary Pampara, Andries P. Engelbrecht, T. Cloete |
| 2007 | CEC | Enhancing the NichePSO. | Andries P. Engelbrecht, L. N. H. van Loggerenberg |
| 2007 | CEC | Binary differential evolution strategies. | Andries P. Engelbrecht, Gary Pampara |
| 2007 | CEC | A local network neighbourhood artificial immune system for data clustering. | A. J. Graaff, Andries P. Engelbrecht |
| 2007 | CEC | Differential evolution in high-dimensional search spaces. | Olusegun Olorunda, Andries P. Engelbrecht |
| 2007 | CEC | Differential evolution for integer programming problems. | Mahamed G. H. Omran, Andries P. Engelbrecht |
| 2007 | CEC | Self-adaptive barebones differential evolution. | Mahamed G. H. Omran, Andries P. Engelbrecht, Ayed A. Salman |
| 2007 | GECCO | Particle swarm optimization: an introduction and its recent developments. | Xiaodong Li, Andries P. Engelbrecht |
| 2006 | CEC | Comparing Particle Swarm Optimisation and Genetic Algorithms for Nonlinear Mapping. | Auralia I. Edwards, Andries P. Engelbrecht |
| 2006 | CEC | Determining RNA Secondary Structure using Set-based Particle Swarm Optimization. | Marais Neethling, Andries P. Engelbrecht |
| 2006 | CEC | Binary Differential Evolution. | Gary Pampara, Andries P. Engelbrecht, Nelis Franken |
| 2006 | ICNC | Using the Ring Neighborhood Topology with Self-adaptive Differential Evolution. | Mahamed G. H. Omran, Andries P. Engelbrecht, Ayed A. Salman |
| 2005 | CEC | Nonlinear mapping using particle swarm optimisation. | Auralia I. Edwards, Andries P. Engelbrecht, Nelis Franken |
| 2005 | CEC | Investigating binary PSO parameter influence on the knights cover problem. | Nelis Franken, Andries P. Engelbrecht |
| 2005 | CEC | Differential evolution methods for unsupervised image classification. | Mahamed G. H. Omran, Andries P. Engelbrecht, Ayed A. Salman |
| 2005 | CEC | Combining particle swarm optimisation with angle modulation to solve binary problems. | Gary Pampara, Nelis Franken, Andries P. Engelbrecht |
| 2005 | CIS | Self-adaptive Differential Evolution. | Mahamed G. H. Omran, Ayed A. Salman, Andries P. Engelbrecht |
| 2004 | CEC | PSO approaches to coevolve IPD strategies. | Nelis Franken, Andries P. Engelbrecht |
| 2003 | CEC | Comparing PSO structures to learn the game of checkers from zero knowledge. | Nelis Franken, Andries P. Engelbrecht |
| 2003 | CEC | Data clustering using particle swarm optimization. | D. W. van der Merwe, Andries P. Engelbrecht |
| 2003 | CEC | A new particle swarm optimiser for linearly constrained optimisation. | Ulrich Paquet, Andries P. Engelbrecht |
| 2003 | CEC | CIRG@UP OptiBench: a statistically sound framework for benchmarking optimisation algorithms. | Edwin S. Peer, Andries P. Engelbrecht, Frans van den Bergh |
| 2001 | IWANN | Selective Learning for Multilayer Feedforward Neural Networks. | Andries P. Engelbrecht |
| 2000 | CEC | Searching the forest: using decision trees as building blocks for evolutionary search in classification databases. | S. E. Rouwhorst, Andries P. Engelbrecht |
| 2000 | IJCNN | Global Optimization Algorithms for Training Product Unit Neural Networks. | Adiel Ismail, Andries P. Engelbrecht |
| 1999 | IJCNN | Approximation of a function and its derivatives in feedforward neural networks. | E. Basson, Andries P. Engelbrecht |
| 1999 | IJCNN | Incremental learning using sensitivity analysis. | Andries P. Engelbrecht, Ian Cloete |
| 1999 | IJCNN | Variance analysis of sensitivity information for pruning multilayer feedforward neural networks. | Andries P. Engelbrecht, L. Fletcher, Ian Cloete |
| 1999 | IWANN | Rule Improvement Through Decision Boundary Detection Using Sensitivity Analysis. | Andries P. Engelbrecht, Herna L. Viktor |
| 1995 | IWANN | Automatic Scaling using Gamma Learning for Feedforward Neural Networks. | Andries P. Engelbrecht, Ian Cloete, Jaco Geldenhuys, Jacek M. Zurada |
| 1995 | IWANN | Determining the Significance of Input Parameters using Sensitivity Analysis. | Andries P. Engelbrecht, Ian Cloete, Jacek M. Zurada |