Reduction of symbolic rules from artificial neural networks using sensitivity analysis. - Herna L. Viktor; Andries P. Engelbrecht; Ian Cloete (ICNN, 1995)

Automatic Scaling using Gamma Learning for Feedforward Neural Networks. - Andries P. Engelbrecht; Ian Cloete; Jaco Geldenhuys; Jacek M. Zurada (IWANN, 1995)

Determining the Significance of Input Parameters using Sensitivity Analysis. - Andries P. Engelbrecht; Ian Cloete; Jacek M. Zurada (IWANN, 1995)

A sensitivity analysis algorithm for pruning feedforward neural networks. - Andries P. Engelbrecht; Ian Cloete (ICNN, 1996)

Approximation of a function and its derivatives in feedforward neural networks. - E. Basson; Andries P. Engelbrecht (IJCNN, 1999)

Incremental learning using sensitivity analysis. - Andries P. Engelbrecht; Ian Cloete (IJCNN, 1999)

Variance analysis of sensitivity information for pruning multilayer feedforward neural networks. - Andries P. Engelbrecht; L. Fletcher; Ian Cloete (IJCNN, 1999)

Rule Improvement Through Decision Boundary Detection Using Sensitivity Analysis. - Andries P. Engelbrecht; Herna L. Viktor (IWANN (2), 1999)

Sensitivity Analysis for Decision Boundaries. - Andries P. Engelbrecht (Neural Process. Lett., 1999)

Searching the forest: using decision trees as building blocks for evolutionary search in classification databases. - S. E. Rouwhorst; Andries P. Engelbrecht (CEC, 2000)

Global Optimization Algorithms for Training Product Unit Neural Networks. - Adiel Ismail; Andries P. Engelbrecht (IJCNN (1), 2000)

Message from the Guest Editor. - Andries P. Engelbrecht (Int. J. Comput. Syst. Signals, 2000)

Cooperative learning in neural networks using particle swarm optimizers. - Frans van den Bergh; Andries P. Engelbrecht (South Afr. Comput. J., 2000)

Using the Taylor expansion of multilayer feedforward neural networks. - Andries P. Engelbrecht (South Afr. Comput. J., 2000)

Selective Learning for Multilayer Feedforward Neural Networks. - Andries P. Engelbrecht (IWANN (1), 2001)

Sensitivity Analysis for Selective Learning by Feedforward Neural Networks. - Andries P. Engelbrecht (Fundam. Informaticae, 2001)

A new pruning heuristic based on variance analysis of sensitivity information. - Andries P. Engelbrecht (IEEE Trans. Neural Networks, 2001)

Computational Intelligence: An Introduction - Andries P. Engelbrecht (Wiley, 2002)

Image Classification using Particle Swarm Optimization. - Mahamed G. H. Omran; Andries P. Engelbrecht; Ayed A. Salman (SEAL, 2002)

Supervised Training Using an Unsupervised Approach to Active Learning. - Andries P. Engelbrecht; R. Brits (Neural Process. Lett., 2002)

Comparing PSO structures to learn the game of checkers from zero knowledge. - Nelis Franken; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2003)

Data clustering using particle swarm optimization. - D. W. van der Merwe; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2003)

A new particle swarm optimiser for linearly constrained optimisation. - Ulrich Paquet; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2003)

CIRG@UP OptiBench: a statistically sound framework for benchmarking optimisation algorithms. - Edwin S. Peer; Andries P. Engelbrecht; Frans van den Bergh (IEEE Congress on Evolutionary Computation, 2003)

Training support vector machines with particle swarms. - Ulrich Paquet; Andries Petrus Engelbrecht (IJCNN, 2003)

Scalability of niche PSO. - R. Brits; Andries P. Engelbrecht; Frans van den Bergh (SIS, 2003)

Using neighbourhoods with the guaranteed convergence PSO. - Edwin S. Peer; Frans van den Bergh; Andries P. Engelbrecht (SIS, 2003)

PSO approaches to coevolve IPD strategies. - Nelis Franken; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2004)

Evolving intelligent game-playing agents. - Nelis Franken; Andries P. Engelbrecht (South Afr. Comput. J., 2004)

Social networks as a task allocation tool for multi-robot teams. - Daniel Rodic; Andries P. Engelbrecht (South Afr. Comput. J., 2004)

Learning to Play Games Using a PSO-Based Competitive Learning Approach. - L. Messerschmidt; Andries P. Engelbrecht (IEEE Trans. Evol. Comput., 2004)

A Cooperative Approach to Particle Swarm Optimization. - Frans van den Bergh; Andries P. Engelbrecht (IEEE Trans. Evol. Comput., 2004)

Fundamentals of Computational Swarm Intelligence. - Andries P. Engelbrecht (Wiley, 2005)

Nonlinear mapping using particle swarm optimisation. - Auralia I. Edwards; Andries P. Engelbrecht; Nelis Franken (Congress on Evolutionary Computation, 2005)

Investigating binary PSO parameter influence on the knights cover problem. - Nelis Franken; Andries P. Engelbrecht (Congress on Evolutionary Computation, 2005)

Differential evolution methods for unsupervised image classification. - Mahamed G. H. Omran; Andries P. Engelbrecht; Ayed A. Salman (Congress on Evolutionary Computation, 2005)

Combining particle swarm optimisation with angle modulation to solve binary problems. - Gary Pampara; Nelis Franken; Andries P. Engelbrecht (Congress on Evolutionary Computation, 2005)

Coevolving Probabilistic Game Playing Agents using Particle Swarm Optimization Algorithm. - Evangelos Papacostantis; Andries P. Engelbrecht; Nelis Franken (CIG, 2005)

Self-adaptive Differential Evolution. - Mahamed G. H. Omran; Ayed A. Salman; Andries P. Engelbrecht (CIS (1), 2005)

Niching ability of basic particle swarm optimization algorithms. - Andries P. Engelbrecht; B. S. Masiye; G. Pampard (SIS, 2005)

CiClops: computational intelligence collaborative laboratory of pantological software. - Edwin S. Peer; Andries P. Engelbrecht; Gary Pampara; B. S. Masiye (SIS, 2005)

Particle swarm optimization method for image clustering. - Mahamed G. H. Omran; Andries P. Engelbrecht; Ayed A. Salman (Int. J. Pattern Recognit. Artif. Intell., 2005)

A Color Image Quantization Algorithm Based on Particle Swarm Optimization. - Mahamed G. H. Omran; Andries P. Engelbrecht; Ayed A. Salman (Informatica (Slovenia), 2005)

Composing linear evaluation functions from observable features. - Willem H. Duminy; Andries P. Engelbrecht (South Afr. Comput. J., 2005)

Evolving intelligent game-playing agent. - Nelis Franken; Andries P. Engelbrecht (South Afr. Comput. J., 2005)

Particle swarm optimization approaches to coevolve strategies for the iterated prisoner's dilemma. - Nelis Franken; Andries P. Engelbrecht (IEEE Trans. Evol. Comput., 2005)

Comparing Particle Swarm Optimisation and Genetic Algorithms for Nonlinear Mapping. - Auralia I. Edwards; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2006)

Determining RNA Secondary Structure using Set-based Particle Swarm Optimization. - Marais Neethling; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2006)

Binary Differential Evolution. - Gary Pampara; Andries P. Engelbrecht; Nelis Franken (IEEE Congress on Evolutionary Computation, 2006)

Training Bao Game-Playing Agents using Coevolutionary Particle Swarm Optimization. - Johan Conradie; Andries P. Engelbrecht (CIG, 2006)

Using the Ring Neighborhood Topology with Self-adaptive Differential Evolution. - Mahamed G. H. Omran; Andries P. Engelbrecht; Ayed A. Salman (ICNC (1), 2006)

Niching for Dynamic Environments Using Particle Swarm Optimization. - Isabella Schoeman; Andries P. Engelbrecht (SEAL, 2006)

A study of particle swarm optimization particle trajectories. - Frans van den Bergh; Andries P. Engelbrecht (Inf. Sci., 2006)

Dynamic clustering using particle swarm optimization with application in image segmentation. - Mahamed G. H. Omran; Ayed A. Salman; Andries P. Engelbrecht (Pattern Anal. Appl., 2006)

Particle Swarm Optimization for Pattern Recognition and Image Processing. - Mahamed G. H. Omran; Andries P. Engelbrecht; Ayed A. Salman (Swarm Intelligence in Data Mining, 2006)

Computational Intelligence: An Introduction, Second Edition. - Andries P. Engelbrecht (Wiley, 2007)

Enhancing the NichePSO. - Andries P. Engelbrecht; L. N. H. van Loggerenberg (IEEE Congress on Evolutionary Computation, 2007)

Binary differential evolution strategies. - Andries P. Engelbrecht; Gary Pampara (IEEE Congress on Evolutionary Computation, 2007)

A local network neighbourhood artificial immune system for data clustering. - A. J. Graaff; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2007)

Differential evolution in high-dimensional search spaces. - Olusegun Olorunda; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2007)

Differential evolution for integer programming problems. - Mahamed G. H. Omran; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2007)

Self-adaptive barebones differential evolution. - Mahamed G. H. Omran; Andries P. Engelbrecht; Ayed A. Salman (IEEE Congress on Evolutionary Computation, 2007)

Tournament Particle Swarm Optimization. - Willem H. Duminy; Andries P. Engelbrecht (CIG, 2007)

A starting-time-based approach to production scheduling with Particle Swarm Optimization. - Jacomine Grobler; Andries P. Engelbrecht; Johan W. Joubert; Schalk Kok (CISched, 2007)

Particle swarm optimization: an introduction and its recent developments. - Xiaodong Li 001; Andries P. Engelbrecht (GECCO (Companion), 2007)

Differential Evolution Based Particle Swarm Optimization. - Mahamed G. H. Omran; Andries P. Engelbrecht; Ayed A. Salman (SIS, 2007)

Barebones Particle Swarm for Integer Programming Problems. - Mahamed G. H. Omran; Andries P. Engelbrecht; Ayed A. Salman (SIS, 2007)

Locating multiple optima using particle swarm optimization. - R. Brits; Andries P. Engelbrecht; Frans van den Bergh (Appl. Math. Comput., 2007)

Genetic algorithms for the structural optimisation of learned polynomial expressions. - Gavin Potgieter; Andries P. Engelbrecht (Appl. Math. Comput., 2007)

A Comparative study of sample selection methods for classification. - Patricia E. N. Lutu; Andries P. Engelbrecht (ARIMA J., 2007)

Empirical analysis of self-adaptive differential evolution. - Ayed A. Salman; Andries P. Engelbrecht; Mahamed G. H. Omran (Eur. J. Oper. Res., 2007)

Particle Swarms for Linearly Constrained Optimisation. - Ulrich Paquet; Andries P. Engelbrecht (Fundam. Informaticae, 2007)

An overview of clustering methods. - Mahamed G. H. Omran; Andries P. Engelbrecht; Ayed A. Salman (Intell. Data Anal., 2007)

A new fuzzy operator and its application to topology design of distributed local area networks. - Salman A. Khan; Andries P. Engelbrecht (Inf. Sci., 2007)

A Model to Optimize DNA Sequences Based on Particle Swarm Optimization. - Noor Khafifah Khalid; Tri Basuki Kurniawan; Zuwairie Ibrahim; Zulkifli Md. Yusof; Marzuki Khalid; Andries P. Engelbrecht (Asia International Conference on Modelling and Simulation, 2008)

Towards a self regulating local network neighbourhood artificial immune system for data clustering. - A. J. Graaff; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2008)

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

Multi-objective DE and PSO strategies for production scheduling. - Jacomine Grobler; Andries P. Engelbrecht; Venkata S. S. Yadavalli (IEEE Congress on Evolutionary Computation, 2008)

Algorithm comparisons and the significance of population size. - Katherine M. Malan; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2008)

Measuring exploration/exploitation in particle swarms using swarm diversity. - Olusegun Olorunda; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2008)

Improved differential evolution for dynamic optimization problems. - Mathys C. du Plessis; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2008)

Cooperative charged particle swarm optimiser. - Anna S. Rakitianskaia; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2008)

CIlib: A collaborative framework for Computational Intelligence algorithms - Part II. - T. Cloete; Andries P. Engelbrecht; Gary Pampara (IJCNN, 2008)

A comparison of map neuron labeling approaches for unsupervised self-organizing feature maps. - Willem S. van Heerden; Andries P. Engelbrecht (IJCNN, 2008)

CIlib: A collaborative framework for Computational Intelligence algorithms - Part I. - Gary Pampara; Andries P. Engelbrecht; T. Cloete (IJCNN, 2008)

A fuzzy ant colony optimization algorithm for topology design of distributed local area networks. - Salman A. Khan; Andries P. Engelbrecht (SIS, 2008)

Particle swarm optimization with spatially meaningful neighbours. - James Lane; Andries P. Engelbrecht; James E. Gain (SIS, 2008)

Evolving model trees for mining data sets with continuous-valued classes. - Gavin Potgieter; Andries P. Engelbrecht (Expert Syst. Appl., 2008)

Social networks in simulated multi-robot environment. - Daniel Rodic; Andries P. Engelbrecht (Int. J. Intell. Comput. Cybern., 2008)

Particle swarm optimization. - Marco Dorigo; Marco Antonio Montes de Oca; Andries P. Engelbrecht (Scholarpedia, 2008)

Employing the flocking behavior of birds for controlling congestion in autonomous decentralized networks. - Pavlos Antoniou; Andreas Pitsillides; Tim Blackwell; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2009)

Hybridizing PSO and DE for improved vector evaluated multi-objective optimization. - Jacomine Grobler; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2009)

Quantifying ruggedness of continuous landscapes using entropy. - Katherine M. Malan; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2009)

An analysis of heterogeneous cooperative algorithms. - Olusegun Olorunda; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2009)

Free Search Differential Evolution. - Mahamed G. H. Omran; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2009)

Training neural networks with PSO in dynamic environments. - Anna S. Rakitianskaia; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2009)

Adaptive Genetic Programming for dynamic classification problems. - Marius Riekert; Katherine M. Malan; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2009)

Scalability of the vector-based Particle Swarm Optimizer. - Isabella Lona Schoeman; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2009)

HybridSOM: A generic rule extraction framework for self-organizing feature maps. - Willem S. van Heerden; Andries P. Engelbrecht (CIDM, 2009)

Niche Particle Swarm Optimization for Neural Network Ensembles. - Camiel Castillo; Geoff Nitschke; Andries P. Engelbrecht (ECAL (2), 2009)

Implementation of Binary Particle Swarm Optimization for DNA Sequence Design. - Noor Khafifah Khalid; Zuwairie Ibrahim; Tri Basuki Kurniawan; Marzuki Khalid; Andries P. Engelbrecht (IWANN (2), 2009)

Bare bones differential evolution. - Mahamed G. H. Omran; Andries P. Engelbrecht; Ayed A. Salman (Eur. J. Oper. Res., 2009)

Fuzzy hybrid simulated annealing algorithms for topology design of switched local area networks. - Salman A. Khan; Andries P. Engelbrecht (Soft Comput., 2009)

Editorial for the special issue on Particle Swarm Optimization. - Riccardo Poli; Andries P. Engelbrecht; James Kennedy (Swarm Intell., 2009)

Editorial Special Issue: Swarm Intelligence. - Andries P. Engelbrecht; Xiaodong Li 001; Martin Middendorf; Luca Maria Gambardella (IEEE Trans. Evol. Comput., 2009)

Heterogeneous Particle Swarm Optimization. - Andries P. Engelbrecht (ANTS Conference, 2010)

Effect of Particle Initialization on the Performance of Particle Swarm Niching Algorithms. - Isabella Schoeman; Andries P. Engelbrecht (ANTS Conference, 2010)

Alternative hyper-heuristic strategies for multi-method global optimization. - Jacomine Grobler; Andries P. Engelbrecht; Graham Kendall; Venkata S. S. Yadavalli (IEEE Congress on Evolutionary Computation, 2010)

Swarm Tetris: Applying particle swarm optimization to tetris. - Leo Langenhoven; Willem S. van Heerden; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2010)

Overfitting by PSO trained feedforward neural networks. - Andrich B. van Wyk; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2010)

Metaheuristics for the multi-objective FJSP with sequence-dependent set-up times, auxiliary resources and machine down time. - Jacomine Grobler; Andries P. Engelbrecht; Schalk Kok; Sarma Yadavalli (Ann. Oper. Res., 2010)

A decision rule-based method for feature selection in predictive data mining. - Patricia E. N. Lutu; Andries P. Engelbrecht (Expert Syst. Appl., 2010)

A Convergence Proof for the Particle Swarm Optimiser. - Frans van den Bergh; Andries Petrus Engelbrecht (Fundam. Informaticae, 2010)

A novel particle swarm niching technique based on extensive vector operations. - Isabella Lona Schoeman; Andries P. Engelbrecht (Nat. Comput., 2010)

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

The sensitivity of single objective optimization algorithm control parameter values under different computational constraints. - Antoine S. D. Dymond; Andries P. Engelbrecht; P. Stephan Heyns (IEEE Congress on Evolutionary Computation, 2011)

Investigating the impact of alternative evolutionary selection strategies on multi-method global optimization. - Jacomine Grobler; Andries P. Engelbrecht; Graham Kendall; Venkata S. S. Yadavalli (IEEE Congress on Evolutionary Computation, 2011)

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)

Comparison of trade decision strategies in an equity market GA trader. - Jason F. Nicholls; Katherine M. Malan; Andries P. Engelbrecht (CIFEr, 2011)

Coevolutionary particle swarm optimization for evolving trend reversal indicators. - Evangelos Papacostantis; Andries P. Engelbrecht (CIFEr, 2011)

Assessment of the "Evaluation" function in the simulated evolution algorithm. - Salman A. Khan; Andries P. Engelbrecht (ICNC, 2011)

Applying swarm intelligence to a novel congestion control approach for wireless sensor networks. - Pavlos Antoniou; Andreas Pitsillides; Andries P. Engelbrecht; Tim Blackwell; Loizos Michael (ISABEL, 2011)

Self-adaptive competitive differential evolution for dynamic environments. - Mathys C. du Plessis; Andries P. Engelbrecht (SDE, 2011)

Scalability of a heterogeneous particle swarm optimizer. - Andries P. Engelbrecht (SWIS, 2011)

Dynamic load balancing inspired by division of labour in ant colonies. - Ronald Klazar; Andries P. Engelbrecht (SWIS, 2011)

Heterogeneous particle swarms in dynamic environments. - Barend Jacobus Leonard; Andries P. Engelbrecht; Andrich B. van Wyk (SWIS, 2011)

Binary artificial bee colony optimization. - Gary Pampara; Andries P. Engelbrecht (SWIS, 2011)

Lambda-gamma learning with feedforward neural networks using particle swarm optimization. - Andrich B. van Wyk; Andries P. Engelbrecht (SWIS, 2011)

Using sequential deviation to dynamically determine the number of clusters found by a local network neighbourhood artificial immune system. - A. J. Graaff; Andries P. Engelbrecht (Appl. Soft Comput., 2011)

A polar coordinate particle swarm optimiser. - Wiehann Matthysen; Andries P. Engelbrecht (Appl. Soft Comput., 2011)

Unsupervised discovery of relations for analysis of textual data. - A. L. Louis; Andries P. Engelbrecht (Digit. Investig., 2011)

Clustering data in an uncertain environment using an artificial immune system. - A. J. Graaff; Andries P. Engelbrecht (Pattern Recognit. Lett., 2011)

ANTS 2010 special issue - Editorial. - Marco Dorigo; Mauro Birattari; Gianni Di Caro; René Doursat; Andries P. Engelbrecht; Luca Maria Gambardella; Roderich Groß; Erol Sahin; Thomas Stützle (Swarm Intell., 2011)

Performance of Bacterial Foraging Optimization in Dynamic Environments. - Jade Z. Abbott; Andries P. Engelbrecht (ANTS, 2012)

Piecewise Linear Approximation of n-Dimensional Parametric Curves Using Particle Swarms. - Christopher Wesley Cleghorn; Andries P. Engelbrecht (ANTS, 2012)

Measuring Diversity in the Cooperative Particle Swarm Optimizer. - Adiel Ismail; Andries P. Engelbrecht (ANTS, 2012)

The Self-adaptive Comprehensive Learning Particle Swarm Optimizer. - Adiel Ismail; Andries P. Engelbrecht (ANTS, 2012)

Dynamic Load Balancing Inspired by Cemetery Formation in Ant Colonies. - Ronald Klazar; Andries P. Engelbrecht (ANTS, 2012)

Scalability Study of Particle Swarm Optimizers in Dynamic Environments. - Barend J. Leonard; Andries P. Engelbrecht (ANTS, 2012)

A Self-adaptive Heterogeneous PSO Inspired by Ants. - Filipe V. Nepomuceno; Andries P. Engelbrecht (ANTS, 2012)

Towards a more complete classification system for dynamically changing environments. - Julien G. O. L. Duhain; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2012)

Particle swarm optimization: Velocity initialization. - Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2012)

Investigating the use of local search for improving meta-hyper-heuristic performance. - Jacomine Grobler; Andries P. Engelbrecht; Graham Kendall; Venkata S. S. Yadavalli (IEEE Congress on Evolutionary Computation, 2012)

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)

Self-Adaptive Particle Swarm Optimization. - Adiel Ismail; Andries P. Engelbrecht (SEAL, 2012)

Unsupervised Weight-Based Cluster Labeling for Self-Organizing Maps. - Willem S. van Heerden; Andries P. Engelbrecht (WSOM, 2012)

A fuzzy particle swarm optimization algorithm for computer communication network topology design. - Salman A. Khan; Andries P. Engelbrecht (Appl. Intell., 2012)

Using Competitive Population Evaluation in a differential evolution algorithm for dynamic environments. - Mathys C. du Plessis; Andries P. Engelbrecht (Eur. J. Oper. Res., 2012)

Using OVA modeling to improve classification performance for large datasets. - Patricia E. N. Lutu; Andries P. Engelbrecht (Expert Syst. Appl., 2012)

A DNA Sequence Design for DNA Computation Based on Binary Vector Evaluated Particle Swarm Optimization. - Zuwairie Ibrahim; Noor Khafifah Khalid; Jameel Abdulla; Ahmed Mukred; Salinda Buyamin; Zulkifli Md. Yusof; Muhammad Faiz Mohamed Saaid; Norrima Mokhtar; Andries P. Engelbrecht (Int. J. Unconv. Comput., 2012)

Clustering data in stationary environments with a local network neighborhood artificial immune system. - A. J. Graaff; Andries P. Engelbrecht (Int. J. Mach. Learn. Cybern., 2012)

Set-based particle swarm optimization applied to the multidimensional knapsack problem. - Joost Langeveld; Andries P. Engelbrecht (Swarm Intell., 2012)

Training feedforward neural networks with dynamic particle swarm optimisation. - Anna S. Rakitianskaia; Andries P. Engelbrecht (Swarm Intell., 2012)

Particle swarm optimization with discrete crossover. - Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2013)

A cooperative multi-population approach to clustering temporal data. - Kristina Georgieva; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2013)

Multi-method algorithms: Investigating the entity-to-algorithm allocation problem. - Jacomine Grobler; Andries P. Engelbrecht; Graham Kendall; Venkata S. S. Yadavalli (IEEE Congress on Evolutionary Computation, 2013)

A scalability study of multi-objective particle swarm optimizers. - Kyle Robert Harrison; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (IEEE Congress on Evolutionary Computation, 2013)

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

On the optimality of particle swarm parameters in dynamic environments. - Barend J. Leonard; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2013)

Ruggedness, funnels and gradients in fitness landscapes and the effect on PSO performance. - Katherine M. Malan; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2013)

A self-adaptive heterogeneous pso for real-parameter optimization. - Filipe V. Nepomuceno; 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)

Knowledge Transfer Strategies for Vector Evaluated Particle Swarm Optimization. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (EMO, 2013)

Steep gradients as a predictor of PSO failure. - Katherine M. Malan; Andries P. Engelbrecht (GECCO (Companion), 2013)

Dynamic Differential Evolution Algorithm for Clustering Temporal Data. - Kristina Georgieva; Andries P. Engelbrecht (LSSC, 2013)

Fruitless search in differential evolution. - Andries P. Engelbrecht (SDE, 2013)

Analysis of stagnation behavior of vector evaluated particle swarm optimization. - Wiehann Matthysen; Andries P. Engelbrecht; Katherine M. Malan (SIS, 2013)

Cooperative particle swarm optimization in dynamic environments. - N. J. Unger; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (SIS, 2013)

Congestion control in wireless sensor networks based on bird flocking behavior. - Pavlos Antoniou; Andreas Pitsillides; Tim Blackwell; Andries P. Engelbrecht; Loizos Michael (Comput. Networks, 2013)

Application of the feature-detection rule to the Negative Selection Algorithm. - Mario Poggiolini; Andries P. Engelbrecht (Expert Syst. Appl., 2013)

Base Model Combination Algorithm for Resolving Tied Predictions for K-Nearest Neighbor OVA Ensemble Models. - Patricia E. N. Lutu; Andries P. Engelbrecht (INFORMS J. Comput., 2013)

Positive-versus-Negative Classification for Model Aggregation in Predictive Data Mining. - Patricia E. N. Lutu; Andries P. Engelbrecht (INFORMS J. Comput., 2013)

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

A survey of techniques for characterising fitness landscapes and some possible ways forward. - Katherine M. Malan; Andries P. Engelbrecht (Inf. Sci., 2013)

Differential evolution for dynamic environments with unknown numbers of optima. - Mathys C. du Plessis; Andries P. Engelbrecht (J. Glob. Optim., 2013)

ANTS 2012 special issue - Editorial. - Marco Dorigo; Mauro Birattari; Christian Blum 001; Anders Lyhne Christensen; Andries P. Engelbrecht; Roderich Groß; Thomas Stützle (Swarm Intell., 2013)

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

Self-Adaptive Differential Evolution for Dynamic Environments with Fluctuating Numbers of Optima. - Mathys C. du Plessis; Andries P. Engelbrecht (Metaheuristics for Dynamic Optimization, 2013)

Nature-Inspired Swarm Robotics Algorithms for Prioritized Foraging. - Jade Z. Abbott; Andries P. Engelbrecht (ANTS Conference, 2014)

Diversity Rate of Change Measurement for Particle Swarm Optimisers. - Phlippie Bosman; Andries P. Engelbrecht (ANTS Conference, 2014)

Particle Swarm Convergence: Standardized Analysis and Topological Influence. - Christopher Wesley Cleghorn; Andries P. Engelbrecht (ANTS Conference, 2014)

Angle Modulated Particle Swarm Variants. - Barend J. Leonard; Andries P. Engelbrecht (ANTS Conference, 2014)

Particle swarm convergence: An empirical investigation. - Christopher Wesley Cleghorn; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2014)

Analysis and classification of optimisation benchmark functions and benchmark suites. - Robert W. Garden; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2014)

Cooperative DynDE for temporal data clustering. - Kristina S. Georgieva; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2014)

Heuristic space diversity management in a meta-hyper-heuristic framework. - Jacomine Grobler; Andries P. Engelbrecht; Graham Kendall; Venkata S. S. Yadavalli (IEEE Congress on Evolutionary Computation, 2014)

Dynamic multi-objective optimization using charged vector evaluated particle swarm optimization. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2014)

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

Parameter optimization by means of statistical quality guides in F-Race. - Ronald Klazar; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2014)

A progressive random walk algorithm for sampling continuous fitness landscapes. - Katherine M. Malan; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2014)

Carry trade portfolio optimization using particle swarm optimization. - Stuart G. Reid; Katherine M. Malan; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2014)

Competitive coevolutionary training of simple soccer agents from zero knowledge. - Christiaan Scheepers; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2014)

Analysis of hyper-heuristic performance in different dynamic environments. - Stefan van der Stockt; Andries P. Engelbrecht (CIDUE, 2014)

The entity-to-algorithm allocation problem: extending the analysis. - Jacomine Grobler; Andries P. Engelbrecht; Graham Kendall; Venkata S. S. Yadavalli (CIEL, 2014)

Particle swarm optimization. - Andries P. Engelbrecht (GECCO (Companion), 2014)

Training high-dimensional neural networks with cooperative particle swarm optimiser. - Anna S. Rakitianskaia; Andries P. Engelbrecht (IJCNN, 2014)

Asynchronous particle swarm optimization with discrete crossover. - Andries P. Engelbrecht (SIS, 2014)

Fitness function evaluations: A fair stopping condition? - Andries P. Engelbrecht (SIS, 2014)

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

Particle swarm optimisation failure prediction based on fitness landscape characteristics. - Katherine M. Malan; Andries P. Engelbrecht (SIS, 2014)

Weight regularisation in particle swarm optimisation neural network training. - Anna S. Rakitianskaia; Andries P. Engelbrecht (SIS, 2014)

Analysis of stagnation behaviour of competitive coevolutionary trained neuro-controllers. - Christiaan Scheepers; Andries P. Engelbrecht (SIS, 2014)

Comparison of self-adaptive particle swarm optimizers. - E. T. van Zyl; Andries P. Engelbrecht (SIS, 2014)

Simulated evolution and simulated annealing algorithms for solving multi-objective open shortest path first weight setting problem. - Mohammed A. Mohiuddin; Salman A. Khan; Andries P. Engelbrecht (Appl. Intell., 2014)

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

A generalized theoretical deterministic particle swarm model. - Christopher Wesley Cleghorn; Andries P. Engelbrecht (Swarm Intell., 2014)

Characterising the searchability of continuous optimisation problems for PSO. - Katherine M. Malan; Andries P. Engelbrecht (Swarm Intell., 2014)

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

Continuous emotion recognition using a particle swarm optimized NARX neural network. - Ntombikayise Banda; Andries P. Engelbrecht; Peter Robinson 001 (ACII, 2015)

Evaluating landscape characteristics of dynamic benchmark functions. - Ron Bond; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (CEC, 2015)

Fully informed particle swarm optimizer: Convergence analysis. - Christopher Wesley Cleghorn; Andries P. Engelbrecht (CEC, 2015)

Vector-evaluated particle swarm optimization with local search. - Derek Dibblee; Justin Maltese; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (CEC, 2015)

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)

Characterising constrained continuous optimisation problems. - Katherine M. Malan; Johannes F. Oberholzer; Andries P. Engelbrecht (CEC, 2015)

Saturation in PSO neural network training: Good or evil? - Anna S. Rakitianskaia; Andries P. Engelbrecht (CEC, 2015)

Analysis of global information sharing in hyper-heuristics for different dynamic environments. - Stefan van der Stockt; Andries P. Engelbrecht (CEC, 2015)

Self-Adapting the Brownian Radius in a Differential Evolution Algorithm for Dynamic Environments. - Mathys C. du Plessis; Andries P. Engelbrecht; André P. Calitz (FOGA, 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)

Signal Modelling for the Digital Reconstruction of Gramophone Noise. - Christoph F. Stallmann; Andries P. Engelbrecht (ICETE (Selected Papers), 2015)

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

Gramophone Noise Reconstruction - A Comparative Study of Interpolation Algorithms for Noise Reduction. - Christoph F. Stallmann; Andries P. Engelbrecht (SIGMAP, 2015)

Feature Reduction for Dimensional Emotion Recognition in Human-Robot Interaction. - Ntombikayise Banda; Andries P. Engelbrecht; Peter Robinson 001 (SSCI, 2015)

Metric-Based Heuristic Space Diversity Management in a Meta-Hyper-Heuristic Framework. - Jacomine Grobler; Andries P. Engelbrecht (SSCI, 2015)

The Effect of Probability Distributions on the Performance of Quantum Particle Swarm Optimization for Solving Dynamic Optimization Problems. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (SSCI, 2015)

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

Frequency Distribution of Candidate Solutions in Angle Modulated Particle Swarms. - Barend J. Leonard; Andries P. Engelbrecht (SSCI, 2015)

High-Dimensional Multi-Objective Optimization Using Co-operative Vector-Evaluated Particle Swarm Optimization with Random Variable Grouping. - Justin Maltese; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (SSCI, 2015)

Co-operative Vector-Evaluated Particle Swarm Optimization for Multi-objective Optimization. - Justin Maltese; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (SSCI, 2015)

Towards A Generic Computational Intelligence Library: Preventing Insanity. - Gary Pampara; Andries P. Engelbrecht (SSCI, 2015)

Measuring Saturation in Neural Networks. - Anna S. Rakitianskaia; Andries P. Engelbrecht (SSCI, 2015)

A Subspace-Based Method for PSO Initialization. - Elre Van Zyl; Andries P. Engelbrecht (SSCI, 2015)

Heuristic space diversity control for improved meta-hyper-heuristic performance. - Jacomine Grobler; Andries P. Engelbrecht; Graham Kendall; Venkata S. S. Yadavalli (Inf. Sci., 2015)

Particle swarm variants: standardized convergence analysis. - Christopher Wesley Cleghorn; Andries P. Engelbrecht (Swarm Intell., 2015)

Critical considerations on angle modulated particle swarm optimisers. - Barend J. Leonard; Andries P. Engelbrecht; Christopher Wesley Cleghorn (Swarm Intell., 2015)

Tuning Optimization Algorithms Under Multiple Objective Function Evaluation Budgets. - Antoine S. D. Dymond; Andries P. Engelbrecht; Schalk Kok; P. Stephan Heyns (IEEE Trans. Evol. Comput., 2015)

Unified particle swarm optimizer: Convergence analysis. - Christopher Wesley Cleghorn; Andries P. Engelbrecht (CEC, 2016)

The sad state of self-adaptive particle swarm optimizers. - Kyle Robert Harrison; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (CEC, 2016)

A radius-free quantum particle swarm optimization technique for dynamic optimization problems. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (CEC, 2016)

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

Pareto-based many-objective optimization using knee points. - Justin Maltese; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (CEC, 2016)

Performance measures for niching algorithms. - Jonathan Mwaura; Andries P. Engelbrecht; Filipe V. Nepocumeno (CEC, 2016)

Analysis of error landscapes in multi-layered neural networks for classification. - Anna S. Rakitianskaia; Eduan Bekker; Katherine M. Malan; Andries P. Engelbrecht (CEC, 2016)

Vector evaluated particle swarm optimization exploration behavior part I: Explorative analysis. - Christiaan Scheepers; Andries P. Engelbrecht (CEC, 2016)

Vector evaluated particle swarm optimization exploration behavior part II: Quantitative analysis. - Christiaan Scheepers; Andries P. Engelbrecht (CEC, 2016)

Analysis of activation functions for particle swarm optimised feedforward neural networks. - Andrich B. van Wyk; Andries P. Engelbrecht (CEC, 2016)

Group-based stochastic scaling for PSO velocities. - E. T. van Zyl; Andries P. Engelbrecht (CEC, 2016)

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

Particle swarm optimizer: The impact of unstable particles on performance. - Christopher Wesley Cleghorn; Andries P. Engelbrecht (SSCI, 2016)

An investigation into the effect of unlabeled neurons on Self-Organizing Maps. - Willem S. van Heerden; Andries P. Engelbrecht (SSCI, 2016)

Misleading Pareto optimal front diversity metrics: Spacing and distribution. - Christiaan Scheepers; Andries P. Engelbrecht (SSCI, 2016)

Vector evaluated particle swarm optimization archive management: Pareto optimal front diversity sensitivity analysis. - Christiaan Scheepers; Andries P. Engelbrecht (SSCI, 2016)

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

Hyper-heuristics for the Flexible Job Shop Scheduling Problem with Additional Constraints. - Jacomine Grobler; Andries P. Engelbrecht (ICSI (2), 2016)

Headless Chicken Particle Swarm Optimization Algorithms. - Jacomine Grobler; Andries P. Engelbrecht (ICSI (1), 2016)

An Analysis of Competitive Coevolutionary Particle Swarm Optimizers to Train Neural Network Game Tree Evaluation Functions. - Albert Volschenk; Andries P. Engelbrecht (ICSI (1), 2016)

Particle swarm optimization with crossover: a review and empirical analysis. - Andries P. Engelbrecht (Artif. Intell. Rev., 2016)

Fuzzy particle swarm optimization algorithms for the open shortest path first weight setting problem. - Mohammed A. Mohiuddin; Salman A. Khan; Andries P. Engelbrecht (Appl. Intell., 2016)

Training multi-agent teams from zero knowledge with the competitive coevolutionary team-based particle swarm optimiser. - Christiaan Scheepers; Andries P. Engelbrecht (Soft Comput., 2016)

Inertia weight control strategies for particle swarm optimization - Too much momentum, not enough analysis. - Kyle Robert Harrison; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (Swarm Intell., 2016)

Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond. - Haibo He; Nitesh V. Chawla; Huanhuan Chen; Yoonsuck Choe; Andries P. Engelbrecht; Jaya deva; Lyle N. Long; Ali A. Minai; Feiping Nie 001; Umut Ozertem; Barak A. Pearlmutter; Ling Shao 001; et al. (IEEE Trans. Neural Networks Learn. Syst., 2016)

Optimal parameter regions for particle swarm optimization algorithms. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (CEC, 2017)

Vector evaluated particle swarm optimization: The archive's influence on performance. - Christiaan Scheepers; Andries P. Engelbrecht (CEC, 2017)

Fitness-distance-ratio particle swarm optimization: stability analysis. - Christopher Wesley Cleghorn; Andries P. Engelbrecht (GECCO, 2017)

Training Convolutional Neural Networks with Class Based Data Augmentation for Detecting Distracted Drivers. - Jaco Cronje; Andries P. Engelbrecht (ICCAE, 2017)

Bio-acoustic emotion recognition using continuous conditional recurrent neural fields. - Ntombikayise Banda; Lang He; Andries P. Engelbrecht (SSCI, 2017)

Firefly optimization: A study on frame invariance. - Christopher Wesley Cleghorn; Andries P. Engelbrecht (SSCI, 2017)

An adaptive particle swarm optimization algorithm based on optimal parameter regions. - Kyle Robert Harrison; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (SSCI, 2017)

The merits of velocity clamping particle swarm optimisation in high dimensional spaces. - Elre T. Oldewage; Andries P. Engelbrecht; Christopher Wesley Cleghorn (SSCI, 2017)

Quantified pareto-optimal front comparisons using attainment surfaces. - Christiaan Scheepers; Andries P. Engelbrecht (SSCI, 2017)

A Scalability Analysis of Particle Swarm Optimization Roaming Behaviour. - Jacomine Grobler; Andries P. Engelbrecht (ICSI (1), 2017)

Seeking Multiple Solutions: An Updated Survey on Niching Methods and Their Applications. - Xiaodong Li 001; Michael G. Epitropakis; Kalyanmoy Deb; Andries P. Engelbrecht (IEEE Trans. Evol. Comput., 2017)

Gramophone Noise Detection and Reconstruction Using Time Delay Artificial Neural Networks. - Christoph F. Stallmann; Andries P. Engelbrecht (IEEE Trans. Syst. Man Cybern. Syst., 2017)

Stability Analysis of the Multi-objective Multi-guided Particle Swarm Optimizer. - Christopher Wesley Cleghorn; Christiaan Scheepers; Andries P. Engelbrecht (ANTS Conference, 2018)

Gaussian-Valued Particle Swarm Optimization. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (ANTS Conference, 2018)

The Importance of Component-Wise Stochasticity in Particle Swarm Optimization. - Elre T. Oldewage; Andries P. Engelbrecht; Christopher Wesley Cleghorn (ANTS Conference, 2018)

Boundary Constraint Handling Techniques for Particle Swarm Optimization in High Dimensional Problem Spaces. - Elre T. Oldewage; Andries P. Engelbrecht; Christopher Wesley Cleghorn (ANTS Conference, 2018)

Self-adaptive Quantum Particle Swarm Optimization for Dynamic Environments. - Gary Pamparà; Andries P. Engelbrecht (ANTS Conference, 2018)

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

Particle swarm optimization: a guide to effective, misconception free, real world use. - Andries P. Engelbrecht; Christopher Wesley Cleghorn (GECCO (Companion), 2018)

Filter versus wrapper feature selection based on problem landscape features. - Werner Mostert; Katherine M. Malan; Andries P. Engelbrecht (GECCO (Companion), 2018)

Multimodal Emotion Recognition using Deep Continuous Conditional Recurrent Neural Fields. - Ntombikayise Banda; Andries P. Engelbrecht (IJCNN, 2018)

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

Arithmetic and parent-centric headless chicken crossover operators for dynamic particle swarm optimization algorithms. - Jacomine Grobler; Andries P. Engelbrecht (Soft Comput., 2018)

Particle swarm stability: a theoretical extension using the non-stagnate distribution assumption. - Christopher Wesley Cleghorn; Andries P. Engelbrecht (Swarm Intell., 2018)

Self-adaptive particle swarm optimization: a review and analysis of convergence. - Kyle Robert Harrison; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (Swarm Intell., 2018)

Optimal parameter regions and the time-dependence of control parameter values for the particle swarm optimization algorithm. - Kyle Robert Harrison; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (Swarm Evol. Comput., 2018)

Analysis of selection hyper-heuristics for population-based meta-heuristics in real-valued dynamic optimization. - Stefan van der Stockt; Andries P. Engelbrecht (Swarm Evol. Comput., 2018)

A Scalability Study of Many-Objective Optimization Algorithms. - Justin Maltese; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (IEEE Trans. Evol. Comput., 2018)

The Parameter Configuration Landscape: A Case Study on Particle Swarm Optimization. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (CEC, 2019)

Insights into the Feature Selection Problem Using Local Optima Networks. - Werner Mostert; Katherine M. Malan; Gabriela Ochoa; Andries P. Engelbrecht (EvoCOP, 2019)

Control parameter sensitivity analysis of the multi-guide particle swarm optimization algorithm. - Kyle Erwin; Andries P. Engelbrecht (GECCO, 2019)

Evolutionary and swarm-intelligence algorithms through monadic composition. - Gary Pamparà; Andries P. Engelbrecht (GECCO (Companion), 2019)

A generator for dynamically constrained optimization problems. - Gary Pamparà; Andries P. Engelbrecht (GECCO (Companion), 2019)

On the Robustness of Random Walks for Fitness Landscape Analysis. - Ryan Dieter Lang; Andries P. Engelbrecht (SSCI, 2019)

An Analysis of Control Parameter Importance in the Particle Swarm Optimization Algorithm. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (ICSI (1), 2019)

Set based particle swarm optimization for the feature selection problem. - Andries P. Engelbrecht; Jacomine Grobler; Joost Langeveld (Eng. Appl. Artif. Intell., 2019)

Towards programmable on-demand lightpath services: current state-of-the-art and open research areas. - Mpho C. Nkosi; Lusani Mamushiane; Albert A. Lysko; David L. Johnson 001; Andries P. Engelbrecht (IET Networks, 2019)

Co-evolved genetic programs for stock market trading. - Jason F. Nicholls; Andries P. Engelbrecht (Intell. Syst. Account. Finance Manag., 2019)

A parameter-free particle swarm optimization algorithm using performance classifiers. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (Inf. Sci., 2019)

Time Series Forecasting Using Neural Networks: Are Recurrent Connections Necessary? - Salihu A. Abdulkarim; Andries P. Engelbrecht (Neural Process. Lett., 2019)

Degrees of stochasticity in particle swarm optimization. - Elre T. Oldewage; Andries P. Engelbrecht; Christopher W. Cleghorn (Swarm Intell., 2019)

Multi-guide particle swarm optimization for multi-objective optimization: empirical and stability analysis. - Christiaan Scheepers; Andries P. Engelbrecht; Christopher W. Cleghorn (Swarm Intell., 2019)

Control Parameter Importance and Sensitivity Analysis of the Multi-Guide Particle Swarm Optimization Algorithm. - Timothy G. Carolus; Andries P. Engelbrecht (ANTS Conference, 2020)

Fitting Gaussian Mixture Models Using Cooperative Particle Swarm Optimization. - Heinrich Cilliers; Andries P. Engelbrecht (ANTS Conference, 2020)

Set-Based Particle Swarm Optimization for Portfolio Optimization. - Kyle Erwin; Andries P. Engelbrecht (ANTS Conference, 2020)

A Review and Empirical Analysis of Particle Swarm optimization Algorithms for Dynamic Multi-Modal optimization. - Simon Dennis; Andries P. Engelbrecht (CEC, 2020)

Decision Space Coverage of Random Walks. - Ryan Dieter Lang; Andries P. Engelbrecht (CEC, 2020)

Heuristic Space Diversity Measures for Population-based Hyper-heuristics. - Stefan van der Stockt; Andries P. Engelbrecht; Christopher W. Cleghorn (CEC, 2020)

Recent advances in particle swarm optimization analysis and understanding. - Andries P. Engelbrecht; Christopher W. Cleghorn (GECCO Companion, 2020)

Distributed random walks for fitness landscape analysis. - Ryan Dieter Lang; Andries P. Engelbrecht (GECCO, 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)

Mixtures of Heterogeneous Experts. - Callum Parton; Andries P. Engelbrecht (ISMSI, 2020)

Swarm Based Algorithms for Neural Network Training. - Reginald McLean; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (SMC, 2020)

Dynamic Multi-Swarm Fractional-best Particle Swarm Optimization for Dynamic Multi-modal Optimization. - Simon Dennis; Andries P. Engelbrecht (SSCI, 2020)

Improved Set-based Particle Swarm optimization for Portfolio optimization. - Kyle Erwin; Andries P. Engelbrecht (SSCI, 2020)

Visualizing and Characterizing the Parameter Configuration Landscape of Differential Evolution using Physical Landform Classification. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (SSCI, 2020)

Analysis of Particle Swarm Optimisation for Training Support Vector Machines. - Thorsten Schmidt-Dumont; Andries P. Engelbrecht (SSCI, 2020)

Data-Driven Visual Characterization of Patient Health-Status Using Electronic Health Records and Self-Organizing Maps. - David Chushig-Muzo; Cristina Soguero-Ruíz; Andries P. Engelbrecht; Pablo de Miguel-Bohoyo; Inmaculada Mora-Jiménez (IEEE Access, 2020)

Transfer of manure as fertilizer from livestock farms to crop fields: The case of Catalonia. - Andreas Kamilaris; Andries P. Engelbrecht; Andreas Pitsillides; Francesc X. Prenafeta-Boldú (Comput. Electron. Agric., 2020)

Transfer of Manure from Livestock Farms to Crop Fields as Fertilizer using an Ant Inspired Approach. - Andreas Kamilaris; Andries P. Engelbrecht; Andreas Pitsillides; Francesc X. Prenafeta-Boldu (CoRR, 2020)

A memory guided sine cosine algorithm for global optimization. - Shubham Gupta; Kusum Deep; Andries P. Engelbrecht (Eng. Appl. Artif. Intell., 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)

Movement patterns of a particle swarm in high dimensional spaces. - Elre T. Oldewage; Andries P. Engelbrecht; Christopher W. Cleghorn (Inf. Sci., 2020)

An Analysis of Activation Function Saturation in Particle Swarm Optimization Trained Neural Networks. - Cody Dennis; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (Neural Process. Lett., 2020)

Random Regrouping and Factorization in Cooperative Particle Swarm Optimization Based Large-Scale Neural Network Training. - Cody Dennis; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (Neural Process. Lett., 2020)

Predicting Particle Swarm Optimization Control Parameters From Fitness Landscape Characteristics. - Cody Dennis; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (CEC, 2021)

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 (CEC, 2021)

Decision Space Scalability Analysis of Multi-Objective Particle Swarm Optimization Algorithms. - Amirali Madani; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (CEC, 2021)

Recent advances in particle swarm optimization analysis and understanding 2021. - Andries P. Engelbrecht; Christopher W. Cleghorn (GECCO Companion, 2021)

A Convolutional Neural Network for Dental Panoramic Radiograph Classification. - James Faure; Andries P. Engelbrecht (ISMSI, 2021)

Learning to Trade from Zero-Knowledge Using Particle Swarm Optimization. - Stefan van Deventer; Andries P. Engelbrecht (IWANN (2), 2021)

Impacted Tooth Detection in Panoramic Radiographs. - James Faure; Andries P. Engelbrecht (IWANN (1), 2021)

Set-based Particle Swarm Optimization for Portfolio Optimization with Adaptive Coordinate Descent Weight Optimization. - Kyle Erwin; Andries P. Engelbrecht (SSCI, 2021)

A Tuning Free Approach to Multi-guide Particle Swarm Optimization. - Kyle Erwin; Andries P. Engelbrecht (SSCI, 2021)

Multi-guide Particle Swarm Optimisation Control Parameter Importance in High Dimensional Spaces. - Timothy G. Carolus; Andries P. Engelbrecht (ICSI (1), 2021)

Two Modified NichePSO Algorithms for Multimodal Optimization. - Tyler Crane; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (ICSI (1), 2021)

Polynomial Approximation Using Set-Based Particle Swarm Optimization. - Jean-Pierre van Zyl; Andries P. Engelbrecht (ICSI (1), 2021)

An Exploratory Landscape Analysis-Based Benchmark Suite. - Ryan Dieter Lang; Andries P. Engelbrecht (Algorithms, 2021)

A Feature Selection Algorithm Performance Metric for Comparative Analysis. - Werner Mostert; Katherine M. Malan; Andries P. Engelbrecht (Algorithms, 2021)

Diversity Measures for Niching Algorithms. - Jonathan Mwaura; Andries P. Engelbrecht; Filipe V. Nepomuceno (Algorithms, 2021)

An analysis of the impact of subsampling on the neural network error surface. - Cody Dennis; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (Neurocomputing, 2021)

Characterisation of environment type and difficulty for streamed data classification problems. - Mathys Ellis; Anna S. Bosman; Andries P. Engelbrecht (Inf. Sci., 2021)

Time series forecasting with feedforward neural networks trained using particle swarm optimizers for dynamic environments. - Salihu A. Abdulkarim; Andries P. Engelbrecht (Neural Comput. Appl., 2021)

A scalability study of the multi-guide particle swarm optimization algorithm to many-objectives. - Cian Steenkamp; Andries P. Engelbrecht (Swarm Evol. Comput., 2021)

Performance analysis of dynamic optimization algorithms using relative error distance. - Stéfan A. G. van der Stockt; Gary Pamparà; Andries P. Engelbrecht; Christopher W. Cleghorn (Swarm Evol. Comput., 2021)

Stability-Guided Particle Swarm Optimization. - Andries P. Engelbrecht (ANTS Conference, 2022)

Decomposition and Merging Co-operative Particle Swarm Optimization with Random Grouping. - Alanna McNulty; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (ANTS Conference, 2022)

Dynamic Spatial Guided Multi-Guide Particle Swarm Optimization Algorithm for Many-Objective Optimization. - Weka Steyn; Andries P. Engelbrecht (ANTS Conference, 2022)

Dynamic Multi-objective Optimisation Using Multi-guide Particle Swarm Optimisation. - Pawel Jocko; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (CEC, 2022)

Rule Induction Using Set-Based Particle Swarm Optimisation. - Jean-Pierre van Zyl; Andries P. Engelbrecht (CEC, 2022)

SELECTOR: selecting a representative benchmark suite for reproducible statistical comparison. - Gjorgjina Cenikj; Ryan Dieter Lang; Andries Petrus Engelbrecht; Carola Doerr; Peter Korosec; Tome Eftimov (GECCO, 2022)

Set-based Particle Swarm Optimization for Data Clustering. - Lienke Brown; Andries P. Engelbrecht (ISMSI, 2022)

Static Polynomial Approximation Using Set-based Particle Swarm Optimisation. - Donovan Edeling; Andries P. Engelbrecht (ISMSI, 2022)

Stability-Guided Multi-Guide Particle Swarm Optimization. - Weka Steyn; Andries P. Engelbrecht (ISMSI, 2022)

Cooperative Particle Swarm Optimization Decomposition Methods for Large-scale Optimization. - Mitchell Clark; Beatrice M. Ombuki-Berman; Nicholas Aksamit; Andries P. Engelbrecht (SSCI, 2022)

A Particle Swarm Optimization Decomposition Strategy for Large Scale Global Optimization. - Liam J. S. McDevitt; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (SSCI, 2022)

Improved Hamming Diversity Measure for Set-Based Optimization Algorithms. - Kyle Erwin; Andries P. Engelbrecht (ICSI (1), 2022)

The influence of fitness landscape characteristics on particle swarm optimisers. - Andries P. Engelbrecht; Phlippie Bosman; Katherine M. Malan (Nat. Comput., 2022)

Multi-guide particle swarm optimisation archive management strategies for dynamic optimisation problems. - Pawel Jocko; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (Swarm Intell., 2022)

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

How to Tell a Fish from a Bee: Constructing Meta-Heuristic Search Behaviour Characteristics. - Lauren Hayward; Andries P. Engelbrecht (GECCO Companion, 2023)

Performance Analysis of Hybrid Sampling and Meta-heuristics. - Ryan Dieter Lang; Andries Petrus Engelbrecht (GECCO Companion, 2023)

Assessing the Generalizability of a Performance Predictive Model. - Ana Nikolikj; Gjorgjina Cenikj; Gordana Ispirova; Diederick Vermetten; Ryan Dieter Lang; Andries Petrus Engelbrecht; Carola Doerr; Peter Korosec; Tome Eftimov (GECCO Companion, 2023)

Set-based Particle Swarm Optimization for Data Clustering: Comparison and Analysis of Control Parameters. - Rijk Marius de Wet; Andries P. Engelbrecht (ISMSI, 2023)

A Cautionary Note on Poli's Stability Condition for Particle Swarm Optimization. - Daniel H. Von Eschwege; Andries P. Engelbrecht (SSCI, 2023)

Meta-heuristics for Portfolio Optimization: Part I - Review of Meta-heuristics. - Kyle Erwin; Andries P. Engelbrecht (ICSI (2), 2023)

Meta-heuristics for Portfolio Optimization: Part II - Empirical Analysis. - Kyle Erwin; Andries P. Engelbrecht (ICSI (2), 2023)

Cooperative coevolutionary multi-guide particle swarm optimization algorithm for large-scale multi-objective optimization problems. - Amirali Madani; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (Swarm Evol. Comput., 2023)

Multi-Guide Set-Based Particle Swarm Optimization for Multi-Objective Portfolio Optimization. - Kyle Erwin; Andries P. Engelbrecht (Algorithms, 2023)

The Porcupine Measure for Comparing the Performance of Multi-Objective Optimization Algorithms. - Christiaan Scheepers; Andries P. Engelbrecht (Algorithms, 2023)

Feature-Based Complexity Measure for Multinomial Classification Datasets. - Kyle Erwin; Andries P. Engelbrecht (Entropy, 2023)

Meta-heuristics for portfolio optimization. - Kyle Erwin; Andries P. Engelbrecht (Soft Comput., 2023)

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 (Canadian AI, 2024)

Set-Based Particle Swarm Optimization for the Multi-objective Multi-dimensional Knapsack Problem. - Mari Spangenberg; Andries P. Engelbrecht (ICSI (1), 2024)

Regularised feed forward neural networks for streamed data classification problems. - Mathys Ellis; Anna S. Bosman; Andries P. Engelbrecht (Eng. Appl. Artif. Intell., 2024)

A comparative study of evolutionary algorithms and particle swarm optimization approaches for constrained multi-objective optimization problems. - Alanna McNulty; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (Swarm Evol. Comput., 2024)

Belief space-guided approach to self-adaptive particle swarm optimization. - Daniel H. Von Eschwege; Andries P. Engelbrecht (Swarm Intell., 2024)

Fitness Landscape Analysis of Product Unit Neural Networks. - Andries P. Engelbrecht; Robert Gouldie (Algorithms, 2024)

Ants 2022 special issue. - Marco Dorigo; Heiko Hamann; Manuel López-Ibáñez 001; José García-Nieto; Andries P. Engelbrecht; Carlo Pinciroli; Volker Strobel; Christian Leonardo Camacho-Villalón (Swarm Intell., 2024)

Decomposition and merging cooperative particle swarm optimization with random grouping for large-scale optimization problems. - Alanna McNulty; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (Swarm Intell., 2024)

Training feedforward neural networks with Bayesian hyper-heuristics. - Arné Schreuder; Anna S. Bosman; Andries P. Engelbrecht; Christopher W. Cleghorn (Inf. Sci., 2025)

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

Determining Metaheuristic Similarity Using Behavioral Analysis. - Lauren Hayward; Andries P. Engelbrecht (IEEE Trans. Evol. Comput., 2025)