Andries P. Engelbrecht

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 146

Top Venues

Publications

Mari Spangenberg, Andries P. Engelbrecht
Set-Based Particle Swarm Optimization for the Multi-objective Multi-dimensional Knapsack Problem. ICSI (1) (2024)
Andries P. Engelbrecht, Robert Gouldie
Fitness Landscape Analysis of Product Unit Neural Networks. Algorithms 17 (6) (2024)
Daniel H. Von Eschwege, Andries P. Engelbrecht
Belief space-guided approach to self-adaptive particle swarm optimization. Swarm Intell. 18 (1) (2024)
Mathys Ellis, Anna S. Bosman, Andries P. Engelbrecht
Regularised feed forward neural networks for streamed data classification problems. Eng. Appl. Artif. Intell. 133 (2024)
Christiaan Scheepers, Andries P. Engelbrecht
The Porcupine Measure for Comparing the Performance of Multi-Objective Optimization Algorithms. Algorithms 16 (6) (2023)
Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig
Empirical Loss Landscape Analysis of Neural Network Activation Functions. GECCO Companion (2023)
Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig
Empirical Loss Landscape Analysis of Neural Network Activation Functions. CoRR (2023)
Daniel H. Von Eschwege, Andries P. Engelbrecht
A Cautionary Note on Poli's Stability Condition for Particle Swarm Optimization. SSCI (2023)
Kyle Erwin, Andries P. Engelbrecht
Meta-heuristics for portfolio optimization. Soft Comput. 27 (24) (2023)
Arné Schreuder, Anna Bosman, Andries P. Engelbrecht, Christopher W. Cleghorn
Training Feedforward Neural Networks with Bayesian Hyper-Heuristics. CoRR (2023)
Lauren Hayward, Andries P. Engelbrecht
How to Tell a Fish from a Bee: Constructing Meta-Heuristic Search Behaviour Characteristics. GECCO Companion (2023)
Amirali Madani, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
Cooperative coevolutionary multi-guide particle swarm optimization algorithm for large-scale multi-objective optimization problems. Swarm Evol. Comput. 78 (2023)
Kyle Erwin, Andries P. Engelbrecht
Meta-heuristics for Portfolio Optimization: Part I - Review of Meta-heuristics. ICSI (2) (2023)
Kyle Erwin, Andries P. Engelbrecht
Feature-Based Complexity Measure for Multinomial Classification Datasets. Entropy 25 (7) (2023)
Kyle Erwin, Andries P. Engelbrecht
Meta-heuristics for Portfolio Optimization: Part II - Empirical Analysis. ICSI (2) (2023)
Kyle Erwin, Andries P. Engelbrecht
Multi-Guide Set-Based Particle Swarm Optimization for Multi-Objective Portfolio Optimization. Algorithms 16 (2) (2023)
Rijk Marius de Wet, Andries P. Engelbrecht
Set-based Particle Swarm Optimization for Data Clustering: Comparison and Analysis of Control Parameters. ISMSI (2023)
Kyle Erwin, Andries P. Engelbrecht
Improved Hamming Diversity Measure for Set-Based Optimization Algorithms. ICSI (1) (2022)
Pawel Jocko, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Dynamic Multi-objective Optimisation Using Multi-guide Particle Swarm Optimisation. CEC (2022)
Donovan Edeling, Andries P. Engelbrecht
Static Polynomial Approximation Using Set-based Particle Swarm Optimisation. ISMSI (2022)
Andries P. Engelbrecht, Phlippie Bosman, Katherine M. Malan
The influence of fitness landscape characteristics on particle swarm optimisers. Nat. Comput. 21 (2) (2022)
Alanna McNulty, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Decomposition and Merging Co-operative Particle Swarm Optimization with Random Grouping. ANTS Conference (2022)
Weka Steyn, Andries P. Engelbrecht
Dynamic Spatial Guided Multi-Guide Particle Swarm Optimization Algorithm for Many-Objective Optimization. ANTS Conference (2022)
Liam J. S. McDevitt, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
A Particle Swarm Optimization Decomposition Strategy for Large Scale Global Optimization. SSCI (2022)
Mitchell Clark, Beatrice M. Ombuki-Berman, Nicholas Aksamit, Andries P. Engelbrecht
Cooperative Particle Swarm Optimization Decomposition Methods for Large-scale Optimization. SSCI (2022)
Pawel Jocko, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Multi-guide particle swarm optimisation archive management strategies for dynamic optimisation problems. Swarm Intell. 16 (2) (2022)
Weka Steyn, Andries P. Engelbrecht
Stability-Guided Multi-Guide Particle Swarm Optimization. ISMSI (2022)
Andries P. Engelbrecht
Stability-Guided Particle Swarm Optimization. ANTS Conference (2022)
Lienke Brown, Andries P. Engelbrecht
Set-based Particle Swarm Optimization for Data Clustering. ISMSI (2022)
Jean-Pierre van Zyl, Andries P. Engelbrecht
Rule Induction Using Set-Based Particle Swarm Optimisation. CEC (2022)
Stéfan A. G. van der Stockt, Gary Pamparà, Andries P. Engelbrecht, Christopher W. Cleghorn
Performance analysis of dynamic optimization algorithms using relative error distance. Swarm Evol. Comput. 66 (2021)
Tyler Crane, Andries P. Engelbrecht, Beatrice Ombuki-Berman
Two Modified NichePSO Algorithms for Multimodal Optimization. ICSI (1) (2021)
Cody Dennis, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
An analysis of the impact of subsampling on the neural network error surface. Neurocomputing 466 (2021)
Jonathan Mwaura, Andries P. Engelbrecht, Filipe V. Nepomuceno
Diversity Measures for Niching Algorithms. Algorithms 14 (2) (2021)
Kyle Erwin, Andries P. Engelbrecht
Set-based Particle Swarm Optimization for Portfolio Optimization with Adaptive Coordinate Descent Weight Optimization. SSCI (2021)
Cody Dennis, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Predicting Particle Swarm Optimization Control Parameters From Fitness Landscape Characteristics. CEC (2021)
Cian Steenkamp, Andries P. Engelbrecht
A scalability study of the multi-guide particle swarm optimization algorithm to many-objectives. Swarm Evol. Comput. 66 (2021)
Jean-Pierre van Zyl, Andries P. Engelbrecht
Polynomial Approximation Using Set-Based Particle Swarm Optimization. ICSI (1) (2021)
Stefan van Deventer, Andries P. Engelbrecht
Learning to Trade from Zero-Knowledge Using Particle Swarm Optimization. IWANN (2) (2021)
Kyle Erwin, Andries P. Engelbrecht
A Tuning Free Approach to Multi-guide Particle Swarm Optimization. SSCI (2021)
Salihu A. Abdulkarim, Andries P. Engelbrecht
Time series forecasting with feedforward neural networks trained using particle swarm optimizers for dynamic environments. Neural Comput. Appl. 33 (7) (2021)
Ryan Dieter Lang, Andries P. Engelbrecht
An Exploratory Landscape Analysis-Based Benchmark Suite. Algorithms 14 (3) (2021)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Visualizing and Characterizing the Parameter Configuration Landscape of Particle Swarm Optimization using Physical Landform Classification. CEC (2021)
James Faure, Andries P. Engelbrecht
Impacted Tooth Detection in Panoramic Radiographs. IWANN (1) (2021)
Amirali Madani, Beatrice Ombuki-Berman, Andries P. Engelbrecht
Decision Space Scalability Analysis of Multi-Objective Particle Swarm Optimization Algorithms. CEC (2021)
Werner Mostert, Katherine M. Malan, Andries P. Engelbrecht
A Feature Selection Algorithm Performance Metric for Comparative Analysis. Algorithms 14 (3) (2021)
Timothy G. Carolus, Andries P. Engelbrecht
Multi-guide Particle Swarm Optimisation Control Parameter Importance in High Dimensional Spaces. ICSI (1) (2021)
Mathys Ellis, Anna S. Bosman, Andries P. Engelbrecht
Characterisation of environment type and difficulty for streamed data classification problems. Inf. Sci. 569 (2021)
Andries P. Engelbrecht, Christopher W. Cleghorn
Recent advances in particle swarm optimization analysis and understanding 2021. GECCO Companion (2021)
James Faure, Andries P. Engelbrecht
A Convolutional Neural Network for Dental Panoramic Radiograph Classification. ISMSI (2021)
Andreas Kamilaris, Andries P. Engelbrecht, Andreas Pitsillides, Francesc X. Prenafeta-Boldu
Transfer of Manure as Fertilizer from Livestock Farms to Crop Fields: The Case of Catalonia. CoRR (2020)
Timothy G. Carolus, Andries P. Engelbrecht
Control Parameter Importance and Sensitivity Analysis of the Multi-Guide Particle Swarm Optimization Algorithm. ANTS Conference (2020)
Kyle Erwin, Andries P. Engelbrecht
Improved Set-based Particle Swarm optimization for Portfolio optimization. SSCI (2020)
Reginald McLean, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Swarm Based Algorithms for Neural Network Training. SMC (2020)
David Chushig-Muzo, Cristina Soguero-Ruíz, Andries P. Engelbrecht, Pablo de Miguel-Bohoyo, Inmaculada Mora-Jiménez
Data-Driven Visual Characterization of Patient Health-Status Using Electronic Health Records and Self-Organizing Maps. IEEE Access 8 (2020)
Stefan van der Stockt, Andries P. Engelbrecht, Christopher W. Cleghorn
Heuristic Space Diversity Measures for Population-based Hyper-heuristics. CEC (2020)
Andries P. Engelbrecht, Mardé Helbig
Empirical Analysis of A Partial Dominance Approach to Many-Objective Optimisation. ISMSI (2020)
Heinrich Cilliers, Andries P. Engelbrecht
Fitting Gaussian Mixture Models Using Cooperative Particle Swarm Optimization. ANTS Conference (2020)
Ryan Dieter Lang, Andries P. Engelbrecht
Distributed random walks for fitness landscape analysis. GECCO (2020)
Andreas Kamilaris, Andries P. Engelbrecht, Andreas Pitsillides, Francesc X. Prenafeta-Boldu
Transfer of Manure from Livestock Farms to Crop Fields as Fertilizer using an Ant Inspired Approach. CoRR (2020)
Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig
Visualising basins of attraction for the cross-entropy and the squared error neural network loss functions. Neurocomputing 400 (2020)
Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig
Loss Surface Modality of Feed-Forward Neural Network Architectures. IJCNN (2020)
Cody Dennis, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
An Analysis of Activation Function Saturation in Particle Swarm Optimization Trained Neural Networks. Neural Process. Lett. 52 (2) (2020)
Cody Dennis, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Random Regrouping and Factorization in Cooperative Particle Swarm Optimization Based Large-Scale Neural Network Training. Neural Process. Lett. 51 (1) (2020)
Andries P. Engelbrecht, Christopher W. Cleghorn
Recent advances in particle swarm optimization analysis and understanding. GECCO Companion (2020)
Andreas Kamilaris, Andries P. Engelbrecht, Andreas Pitsillides, Francesc X. Prenafeta-Boldú
Transfer of manure as fertilizer from livestock farms to crop fields: The case of Catalonia. Comput. Electron. Agric. 175 (2020)
Mardé Helbig, Andries P. Engelbrecht
Partial Dominance for Many-Objective Optimization. ISMSI (2020)
Kyle Erwin, Andries P. Engelbrecht
Set-Based Particle Swarm Optimization for Portfolio Optimization. ANTS Conference (2020)
Elre T. Oldewage, Andries P. Engelbrecht, Christopher W. Cleghorn
Movement patterns of a particle swarm in high dimensional spaces. Inf. Sci. 512 (2020)
Simon Dennis, Andries P. Engelbrecht
A Review and Empirical Analysis of Particle Swarm optimization Algorithms for Dynamic Multi-Modal optimization. CEC (2020)
Ryan Dieter Lang, Andries P. Engelbrecht
Decision Space Coverage of Random Walks. CEC (2020)
Shubham Gupta, Kusum Deep, Andries P. Engelbrecht
A memory guided sine cosine algorithm for global optimization. Eng. Appl. Artif. Intell. 93 (2020)
Simon Dennis, Andries P. Engelbrecht
Dynamic Multi-Swarm Fractional-best Particle Swarm Optimization for Dynamic Multi-modal Optimization. SSCI (2020)
Callum Parton, Andries P. Engelbrecht
Mixtures of Heterogeneous Experts. ISMSI (2020)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Visualizing and Characterizing the Parameter Configuration Landscape of Differential Evolution using Physical Landform Classification. SSCI (2020)
Thorsten Schmidt-Dumont, Andries P. Engelbrecht
Analysis of Particle Swarm Optimisation for Training Support Vector Machines. SSCI (2020)
Salihu A. Abdulkarim, Andries P. Engelbrecht
Time Series Forecasting Using Neural Networks: Are Recurrent Connections Necessary? Neural Process. Lett. 50 (3) (2019)
Gary Pamparà, Andries P. Engelbrecht
Evolutionary and swarm-intelligence algorithms through monadic composition. GECCO (Companion) (2019)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
A parameter-free particle swarm optimization algorithm using performance classifiers. Inf. Sci. 503 (2019)
Elre T. Oldewage, Andries P. Engelbrecht, Christopher W. Cleghorn
Degrees of stochasticity in particle swarm optimization. Swarm Intell. 13 (3-4) (2019)
Ryan Dieter Lang, Andries P. Engelbrecht
On the Robustness of Random Walks for Fitness Landscape Analysis. SSCI (2019)
Mpho C. Nkosi, Lusani Mamushiane, Albert A. Lysko, David L. Johnson, Andries P. Engelbrecht
Towards programmable on-demand lightpath services: current state-of-the-art and open research areas. IET Networks 8 (6) (2019)
Christiaan Scheepers, Andries P. Engelbrecht, Christopher W. Cleghorn
Multi-guide particle swarm optimization for multi-objective optimization: empirical and stability analysis. Swarm Intell. 13 (3-4) (2019)
Andries P. Engelbrecht, Jacomine Grobler, Joost Langeveld
Set based particle swarm optimization for the feature selection problem. Eng. Appl. Artif. Intell. 85 (2019)
Andries P. Engelbrecht, Christopher Wesley Cleghorn
Recent advances in particle swarm optimization analysis and understanding. GECCO (Companion) (2019)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
An Analysis of Control Parameter Importance in the Particle Swarm Optimization Algorithm. ICSI (1) (2019)
Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig
Loss Surface Modality of Feed-Forward Neural Network Architectures. CoRR (2019)
Werner Mostert, Katherine M. Malan, Gabriela Ochoa, Andries P. Engelbrecht
Insights into the Feature Selection Problem Using Local Optima Networks. EvoCOP (2019)
Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig
Visualising Basins of Attraction for the Cross-Entropy and the Squared Error Neural Network Loss Functions. CoRR (2019)
Gary Pamparà, Andries P. Engelbrecht
A generator for dynamically constrained optimization problems. GECCO (Companion) (2019)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
The Parameter Configuration Landscape: A Case Study on Particle Swarm Optimization. CEC (2019)
Jason F. Nicholls, Andries P. Engelbrecht
Co-evolved genetic programs for stock market trading. Intell. Syst. Account. Finance Manag. 26 (3) (2019)
Kyle Erwin, Andries P. Engelbrecht
Control parameter sensitivity analysis of the multi-guide particle swarm optimization algorithm. GECCO (2019)
Ntombikayise Banda, Andries P. Engelbrecht
Multimodal Emotion Recognition using Deep Continuous Conditional Recurrent Neural Fields. IJCNN (2018)
Elre T. Oldewage, Andries P. Engelbrecht, Christopher Wesley Cleghorn
Boundary Constraint Handling Techniques for Particle Swarm Optimization in High Dimensional Problem Spaces. ANTS Conference (2018)
Jacomine Grobler, Andries P. Engelbrecht
Arithmetic and parent-centric headless chicken crossover operators for dynamic particle swarm optimization algorithms. Soft Comput. 22 (18) (2018)
Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig
Progressive gradient walk for neural network fitness landscape analysis. GECCO (Companion) (2018)
Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
Self-adaptive particle swarm optimization: a review and analysis of convergence. Swarm Intell. 12 (3) (2018)
Gary Pamparà, Andries P. Engelbrecht
Self-adaptive Quantum Particle Swarm Optimization for Dynamic Environments. ANTS Conference (2018)
Werner Mostert, Katherine M. Malan, Andries P. Engelbrecht
Filter versus wrapper feature selection based on problem landscape features. GECCO (Companion) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Andries P. Engelbrecht