Andries Petrus Engelbrecht

Pavlos Antoniou, Andreas Pitsillides, Tim Blackwell, Andries Petrus Engelbrecht, Loizos Michael: Congestion control in wireless sensor networks based on bird flocking behavior. Computer Networks 57(5): 1167-1191 (2013)

Mario Poggiolini, Andries Petrus Engelbrecht: Application of the feature-detection rule to the Negative Selection Algorithm. Expert Syst. Appl. 40(8): 3001-3014 (2013)

Mathys C. du Plessis, Andries Petrus Engelbrecht: Differential evolution for dynamic environments with unknown numbers of optima. J. Global Optimization 55(1): 73-99 (2013)

Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries Petrus Engelbrecht: Knowledge Transfer Strategies for Vector Evaluated Particle Swarm Optimization. EMO 2013: 171-184

Salman A. Khan, Andries Petrus Engelbrecht: A fuzzy particle swarm optimization algorithm for computer communication network topology design. Appl. Intell. 36(1): 161-177 (2012)

Mathys C. du Plessis, Andries Petrus Engelbrecht: Using Competitive Population Evaluation in a differential evolution algorithm for dynamic environments. European Journal of Operational Research 218(1): 7-20 (2012)

Patricia E. N. Lutu, Andries Petrus Engelbrecht: Using OVA modeling to improve classification performance for large datasets. Expert Syst. Appl. 39(4): 4358-4376 (2012)

Zuwairie Ibrahim, Noor Khafifah Khalid, Jameel Abdulla, Ahmed Mukred, Salinda Buyamin, Zulkifli Md Yusof, Muhammad Faiz Mohamed Saaid, N. Mokhtar, Andries Petrus Engelbrecht: A DNA Sequence Design for DNA Computation Based on Binary Vector Evaluated Particle Swarm Optimization. IJUC 8(2): 119-137 (2012)

Anna Rakitianskaia, Andries Petrus Engelbrecht: Training feedforward neural networks with dynamic particle swarm optimisation. Swarm Intelligence 6(3): 233-270 (2012)

Joost Langeveld, Andries Petrus Engelbrecht: Set-based particle swarm optimization applied to the multidimensional knapsack problem. Swarm Intelligence 6(4): 297-342 (2012)

Adiel Ismail, Andries Petrus Engelbrecht: Measuring Diversity in the Cooperative Particle Swarm Optimizer. ANTS 2012: 97-108

Barend J. Leonard, Andries Petrus Engelbrecht: Scalability Study of Particle Swarm Optimizers in Dynamic Environments. ANTS 2012: 121-132

Adiel Ismail, Andries Petrus Engelbrecht: The Self-adaptive Comprehensive Learning Particle Swarm Optimizer. ANTS 2012: 156-167

Filipe V. Nepomuceno, Andries Petrus Engelbrecht: A Self-adaptive Heterogeneous PSO Inspired by Ants. ANTS 2012: 188-195

Ronald Klazar, Andries Petrus Engelbrecht: Dynamic Load Balancing Inspired by Cemetery Formation in Ant Colonies. ANTS 2012: 236-243

Jade Abbott, Andries Petrus Engelbrecht: Performance of Bacterial Foraging Optimization in Dynamic Environments. ANTS 2012: 284-291

Christopher Wesley Cleghorn, Andries Petrus Engelbrecht: Piecewise Linear Approximation of n-Dimensional Parametric Curves Using Particle Swarms. ANTS 2012: 292-299

Julien G. O. L. Duhain, Andries Petrus Engelbrecht: Towards a more complete classification system for dynamically changing environments. IEEE Congress on Evolutionary Computation 2012: 1-8

Andries Petrus Engelbrecht: Particle swarm optimization: Velocity initialization. IEEE Congress on Evolutionary Computation 2012: 1-8

Jacomine Grobler, Andries Petrus Engelbrecht, Graham Kendall, V. S. S. Yadavalli: Investigating the use of local search for improving meta-hyper-heuristic performance. IEEE Congress on Evolutionary Computation 2012: 1-8

Marde Helbig, Andries Petrus Engelbrecht: Analyses of guide update approaches for vector evaluated particle swarm optimisation on dynamic multi-objective optimisation problems. IEEE Congress on Evolutionary Computation 2012: 1-8

Adiel Ismail, Andries Petrus Engelbrecht: Self-Adaptive Particle Swarm Optimization. SEAL 2012: 228-237

Marco Dorigo, Mauro Birattari, Christian Blum, Anders Lyhne Christensen, Andries Petrus Engelbrecht, Roderich Groß, Thomas Stützle (Eds.): Swarm Intelligence - 8th International Conference, ANTS 2012, Brussels, Belgium, September 12-14, 2012. Proceedings. Lecture Notes in Computer Science 7461, Springer 2012, isbn 978-3-642-32649-3

Wiehann Matthysen, Andries Petrus Engelbrecht: A polar coordinate particle swarm optimiser. Appl. Soft Comput. 11(1): 1322-1339 (2011)

A. J. Graaff, Andries Petrus Engelbrecht: Using sequential deviation to dynamically determine the number of clusters found by a local network neighbourhood artificial immune system. Appl. Soft Comput. 11(2): 2698-2713 (2011)

A. L. Louis, Andries Petrus Engelbrecht: Unsupervised discovery of relations for analysis of textual data. Digital Investigation 7(3-4): 154-171 (2011)

A. J. Graaff, Andries Petrus Engelbrecht: Clustering data in an uncertain environment using an artificial immune system. Pattern Recognition Letters 32(2): 342-351 (2011)

Marco Dorigo, Mauro Birattari, Gianni Di Caro, René Doursat, Andries Petrus Engelbrecht, Luca Maria Gambardella, Roderich Groß, Erol Sahin, Thomas Stützle: ANTS 2010 special issue - Editorial. Swarm Intelligence 5(3-4): 143-147 (2011)

Antoine S. D. Dymond, Andries Petrus Engelbrecht, P. Stephan Heyns: The sensitivity of single objective optimization algorithm control parameter values under different computational constraints. IEEE Congress on Evolutionary Computation 2011: 1412-1419

Marde Helbig, Andries Petrus Engelbrecht: Archive management for dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation. IEEE Congress on Evolutionary Computation 2011: 2047-2054

Jacomine Grobler, Andries Petrus Engelbrecht, Graham Kendall, V. S. S. Yadavalli: Investigating the impact of alternative evolutionary selection strategies on multi-method global optimization. IEEE Congress on Evolutionary Computation 2011: 2337-2344

Salman A. Khan, Andries Petrus Engelbrecht: Assessment of the "Evaluation" function in the simulated evolution algorithm. ICNC 2011: 1062-1066

Jacomine Grobler, Andries Petrus Engelbrecht, Schalk Kok, Sarma Yadavalli: Metaheuristics for the multi-objective FJSP with sequence-dependent set-up times, auxiliary resources and machine down time. Annals OR 180(1): 165-196 (2010)

Patricia E. N. Lutu, Andries Petrus Engelbrecht: A decision rule-based method for feature selection in predictive data mining. Expert Syst. Appl. 37(1): 602-609 (2010)

Frans van den Bergh, Andries Petrus Engelbrecht: A Convergence Proof for the Particle Swarm Optimiser. Fundam. Inform. 105(4): 341-374 (2010)

Isabella Lona Schoeman, Andries Petrus Engelbrecht: A novel particle swarm niching technique based on extensive vector operations. Natural Computing 9(3): 683-701 (2010)

Andries Petrus Engelbrecht: Heterogeneous Particle Swarm Optimization. ANTS Conference 2010: 191-202

Isabella Schoeman, Andries Petrus Engelbrecht: Effect of Particle Initialization on the Performance of Particle Swarm Niching Algorithms. ANTS Conference 2010: 560-561

Jacomine Grobler, Andries Petrus Engelbrecht, Graham Kendall, V. S. S. Yadavalli: Alternative hyper-heuristic strategies for multi-method global optimization. IEEE Congress on Evolutionary Computation 2010: 1-8

Leo Langenhoven, Willem S. van Heerden, Andries Petrus Engelbrecht: Swarm Tetris: Applying particle swarm optimization to tetris. IEEE Congress on Evolutionary Computation 2010: 1-8

Andrich B. van Wyk, Andries Petrus Engelbrecht: Overfitting by PSO trained feedforward neural networks. IEEE Congress on Evolutionary Computation 2010: 1-8

Mardé Greeff, Andries Petrus Engelbrecht: Dynamic Multi-objective Optimisation Using PSO. Multi-Objective Swarm Intelligent System 2010: 105-123

Marco Dorigo, Mauro Birattari, Gianni A. Di Caro, René Doursat, Andries Petrus Engelbrecht, Dario Floreano, Luca Maria Gambardella, Roderich Groß, Erol Sahin, Hiroki Sayama, Thomas Stützle (Eds.): Swarm Intelligence - 7th International Conference, ANTS 2010, Brussels, Belgium, September 8-10, 2010. Proceedings. Lecture Notes in Computer Science 6234, Springer 2010, isbn 978-3-642-15460-7

Ajith Abraham, Aboul Ella Hassanien, Patrick Siarry, Andries Petrus Engelbrecht (Eds.): Foundations of Computational Intelligence - Volume 3: Global Optimization. Studies in Computational Intelligence 203, Springer 2009, isbn 978-3-642-01084-2

Mahamed G. H. Omran, Andries Petrus Engelbrecht, Ayed A. Salman: Bare bones differential evolution. European Journal of Operational Research 196(1): 128-139 (2009)

Salman A. Khan, Andries Petrus Engelbrecht: Fuzzy hybrid simulated annealing algorithms for topology design of switched local area networks. Soft Comput. 13(1): 45-61 (2009)

Riccardo Poli, Andries Petrus Engelbrecht, James Kennedy: Editorial for the special issue on Particle Swarm Optimization. Swarm Intelligence 3(4): 243-244 (2009)

Andries Petrus Engelbrecht, Xiaodong Li, Martin Middendorf, Luca Maria Gambardella: Editorial Special Issue: Swarm Intelligence. IEEE Trans. Evolutionary Computation 13(4): 677-680 (2009)

Mahamed G. H. Omran, Andries Petrus Engelbrecht: Free Search Differential Evolution. IEEE Congress on Evolutionary Computation 2009: 110-117

Anna Rakitianskaia, Andries Petrus Engelbrecht: Training neural networks with PSO in dynamic environments. IEEE Congress on Evolutionary Computation 2009: 667-673

Marius Riekert, Katherine Malan, Andries Petrus Engelbrecht: Adaptive Genetic Programming for dynamic classification problems. IEEE Congress on Evolutionary Computation 2009: 674-681

Jacomine Grobler, Andries Petrus Engelbrecht: Hybridizing PSO and DE for improved vector evaluated multi-objective optimization. IEEE Congress on Evolutionary Computation 2009: 1255-1262

Katherine Malan, Andries Petrus Engelbrecht: Quantifying ruggedness of continuous landscapes using entropy. IEEE Congress on Evolutionary Computation 2009: 1440-1447

Olusegun Olorunda, Andries Petrus Engelbrecht: An analysis of heterogeneous cooperative algorithms. IEEE Congress on Evolutionary Computation 2009: 1562-1569

Pavlos Antoniou, Andreas Pitsillides, Tim Blackwell, Andries Petrus Engelbrecht: Employing the flocking behavior of birds for controlling congestion in autonomous decentralized networks. IEEE Congress on Evolutionary Computation 2009: 1753-1761

Isabella Lona Schoeman, Andries Petrus Engelbrecht: Scalability of the vector-based Particle Swarm Optimizer. IEEE Congress on Evolutionary Computation 2009: 1995-2001

Willem S. van Heerden, Andries Petrus Engelbrecht: HybridSOM: A generic rule extraction framework for self-organizing feature maps. CIDM 2009: 17-24

Camiel Castillo, Geoff Nitschke, Andries Petrus Engelbrecht: Niche Particle Swarm Optimization for Neural Network Ensembles. ECAL (2) 2009: 399-407

Noor Khafifah Khalid, Zuwairie Ibrahim, Tri Basuki Kurniawan, Marzuki Khalid, Andries Petrus Engelbrecht: Implementation of Binary Particle Swarm Optimization for DNA Sequence Design. IWANN (2) 2009: 450-457

Pavlos Antoniou, Andreas Pitsillides, Andries Petrus Engelbrecht, Tim Blackwell, Loizos Michael: Congestion Control in Wireless Sensor Networks Based on the Bird Flocking Behavior. IWSOS 2009: 220-225

Gavin Potgieter, Andries Petrus Engelbrecht: Evolving model trees for mining data sets with continuous-valued classes. Expert Syst. Appl. 35(4): 1513-1532 (2008)

Marco Dorigo, Marco Antonio Montes de Oca, Andries Petrus Engelbrecht: Particle swarm optimization. Scholarpedia 3(11): 1486 (2008)

Noor Khafifah Khalid, Tri Basuki Kurniawan, Zuwairie Ibrahim, Zulkifli Md Yusof, Marzuki Khalid, Andries Petrus Engelbrecht: A Model to Optimize DNA Sequences Based on Particle Swarm Optimization. Asia International Conference on Modelling and Simulation 2008: 534-539

Mathys C. du Plessis, Andries Petrus Engelbrecht: Improved differential evolution for dynamic optimization problems. IEEE Congress on Evolutionary Computation 2008: 229-234

A. J. Graaff, Andries Petrus Engelbrecht: Towards a self regulating local network neighbourhood artificial immune system for data clustering. IEEE Congress on Evolutionary Computation 2008: 633-640

Katherine Malan, Andries Petrus Engelbrecht: Algorithm comparisons and the significance of population size. IEEE Congress on Evolutionary Computation 2008: 914-920

Anna Rakitianskaia, Andries Petrus Engelbrecht: Cooperative charged particle swarm optimiser. IEEE Congress on Evolutionary Computation 2008: 933-939

Olusegun Olorunda, Andries Petrus Engelbrecht: Measuring exploration/exploitation in particle swarms using swarm diversity. IEEE Congress on Evolutionary Computation 2008: 1128-1134

Jacomine Grobler, Andries Petrus Engelbrecht, V. S. S. Yadavalli: Multi-objective DE and PSO strategies for production scheduling. IEEE Congress on Evolutionary Computation 2008: 1154-1161

Mardé Greeff, Andries Petrus Engelbrecht: Solving dynamic multi-objective problems with vector evaluated particle swarm optimisation. IEEE Congress on Evolutionary Computation 2008: 2917-2924

Gary Pampara, Andries Petrus Engelbrecht, T. Cloete: CIlib: A collaborative framework for Computational Intelligence algorithms - Part I. IJCNN 2008: 1750-1757

T. Cloete, Andries Petrus Engelbrecht, Gary Pampara: CIlib: A collaborative framework for Computational Intelligence algorithms - Part II. IJCNN 2008: 1764-1773

Willem S. van Heerden, Andries Petrus Engelbrecht: A comparison of map neuron labeling approaches for unsupervised self-organizing feature maps. IJCNN 2008: 2139-2146

Andries Petrus Engelbrecht: Computational intelligence - an introduction (2. ed.). Wiley 2007, isbn 978-0-470-03561-0, pp. I-XXX, 1-597

Gavin Potgieter, Andries Petrus Engelbrecht: Genetic algorithms for the structural optimisation of learned polynomial expressions. Applied Mathematics and Computation 186(2): 1441-1466 (2007)

R. Brits, Andries Petrus Engelbrecht, Frans van den Bergh: Locating multiple optima using particle swarm optimization. Applied Mathematics and Computation 189(2): 1859-1883 (2007)

Ayed A. Salman, Andries Petrus Engelbrecht, Mahamed G. H. Omran: Empirical analysis of self-adaptive differential evolution. European Journal of Operational Research 183(2): 785-804 (2007)

Ulrich Paquet, Andries Petrus Engelbrecht: Particle Swarms for Linearly Constrained Optimisation. Fundam. Inform. 76(1-2): 147-170 (2007)

Mahamed G. Omran, Andries Petrus Engelbrecht, Ayed A. Salman: An overview of clustering methods. Intell. Data Anal. 11(6): 583-605 (2007)

Salman A. Khan, Andries Petrus Engelbrecht: A new fuzzy operator and its application to topology design of distributed local area networks. Inf. Sci. 177(13): 2692-2711 (2007)

A. J. Graaff, Andries Petrus Engelbrecht: A local network neighbourhood artificial immune system for data clustering. IEEE Congress on Evolutionary Computation 2007: 260-267

Olusegun Olorunda, Andries Petrus Engelbrecht: Differential evolution in high-dimensional search spaces. IEEE Congress on Evolutionary Computation 2007: 1934-1941

Andries Petrus Engelbrecht, Gary Pampara: Binary differential evolution strategies. IEEE Congress on Evolutionary Computation 2007: 1942-1947

Mahamed G. H. Omran, Andries Petrus Engelbrecht: Differential evolution for integer programming problems. IEEE Congress on Evolutionary Computation 2007: 2237-2242

Andries Petrus Engelbrecht, L. N. H. van Loggerenberg: Enhancing the NichePSO. IEEE Congress on Evolutionary Computation 2007: 2297-2302

Mahamed G. H. Omran, Andries Petrus Engelbrecht, Ayed A. Salman: Self-adaptive barebones differential evolution. IEEE Congress on Evolutionary Computation 2007: 2858-2865

Willem H. Duminy, Andries Petrus Engelbrecht: Tournament Particle Swarm Optimization. CIG 2007: 146-153

Xiaodong Li, Andries Petrus Engelbrecht: Particle swarm optimization: an introduction and its recent developments. GECCO (Companion) 2007: 3391-3414

Frans van den Bergh, Andries Petrus Engelbrecht: A study of particle swarm optimization particle trajectories. Inf. Sci. 176(8): 937-971 (2006)

Mahamed G. Omran, Ayed A. Salman, Andries Petrus Engelbrecht: Dynamic clustering using particle swarm optimization with application in image segmentation. Pattern Anal. Appl. 8(4): 332-344 (2006)

Patricia E. N. Lutu, Andries Petrus Engelbrecht: A comparative study of sample selection methods for classification. South African Computer Journal 36: 69-85 (2006)

Johan Conradie, Andries Petrus Engelbrecht: Training Bao Game-Playing Agents using Coevolutionary Particle Swarm Optimization. CIG 2006: 67-74

Mahamed G. Omran, Andries Petrus Engelbrecht, Ayed A. Salman: Using the Ring Neighborhood Topology with Self-adaptive Differential Evolution. ICNC (1) 2006: 976-979

Isabella Schoeman, Andries Petrus Engelbrecht: Niching for Dynamic Environments Using Particle Swarm Optimization. SEAL 2006: 134-141

Mahamed G. Omran, Andries Petrus Engelbrecht, Ayed A. Salman: Particle Swarm Optimization for Pattern Recognition and Image Processing. Swarm Intelligence in Data Mining 2006: 125-151

Andries Petrus Engelbrecht: Fundamentals of Computational Swarm Intelligence. Wiley 2005, isbn 978-0-470-09191-3, pp. I-XXXV, 1-599

Mahamed G. Omran, Andries Petrus Engelbrecht, Ayed A. Salman: Particle swarm optimization method for image clustering. IJPRAI 19(3): 297-321 (2005)

Mahamed G. Omran, Andries Petrus Engelbrecht, Ayed A. Salman: A Color Image Quantization Algorithm Based on Particle Swarm Optimization. Informatica (Slovenia) 29(3): 261-270 (2005)

Nelis Franken, Andries Petrus Engelbrecht: Evolving intelligent game-playing agent. South African Computer Journal 34: 87 (2005)

Willem H. Duminy, Andries Petrus Engelbrecht: Composing linear evaluation functions from observable features. South African Computer Journal 35: 48-58 (2005)

Nelis Franken, Andries Petrus Engelbrecht: Particle swarm optimization approaches to coevolve strategies for the iterated prisoner's dilemma. IEEE Trans. Evolutionary Computation 9(6): 562-579 (2005)

Gary Pampara, Nelis Franken, Andries Petrus Engelbrecht: Combining particle swarm optimisation with angle modulation to solve binary problems. Congress on Evolutionary Computation 2005: 89-96

Nelis Franken, Andries Petrus Engelbrecht: Investigating binary PSO parameter influence on the knights cover problem. Congress on Evolutionary Computation 2005: 282-289

Auralia I. Edwards, Andries Petrus Engelbrecht, Nelis Franken: Nonlinear mapping using particle swarm optimisation. Congress on Evolutionary Computation 2005: 306-313

Mahamed G. Omran, Andries Petrus Engelbrecht, Ayed A. Salman: Differential evolution methods for unsupervised image classification. Congress on Evolutionary Computation 2005: 966-973

Evangelos Papacostantis, Andries Petrus Engelbrecht, Nelis Franken: Coevolving Probabilistic Game Playing Agents using Particle Swarm Optimization Algorithm. CIG 2005

Mahamed G. Omran, Ayed A. Salman, Andries Petrus Engelbrecht: Self-adaptive Differential Evolution. CIS (1) 2005: 192-199

Nelis Franken, Andries Petrus Engelbrecht: Evolving intelligent game-playing agents. South African Computer Journal 32: 44-52 (2004)

D. Rodic, Andries Petrus Engelbrecht: Social networks as a task allocation tool for multi-robot teams. South African Computer Journal 33: 52-66 (2004)

F. vandenBergh, Andries Petrus Engelbrecht: A Cooperative Approach to Particle Swarm Optimization. IEEE Trans. Evolutionary Computation 8(3): 225-239 (2004)

L. Messerschmidt, Andries Petrus Engelbrecht: Learning to Play Games Using a PSO-Based Competitive Learning Approach. IEEE Trans. Evolutionary Computation 8(3): 280-288 (2004)

D. W. van der Merwe, Andries Petrus Engelbrecht: Data clustering using particle swarm optimization. IEEE Congress on Evolutionary Computation (1) 2003: 215-220

Ulrich Paquet, Andries Petrus Engelbrecht: A new particle swarm optimiser for linearly constrained optimisation. IEEE Congress on Evolutionary Computation (1) 2003: 227-233

Nelis Franken, Andries Petrus Engelbrecht: Comparing PSO structures to learn the game of checkers from zero knowledge. IEEE Congress on Evolutionary Computation (1) 2003: 234-241

Andries Petrus Engelbrecht, R. Brits: Supervised Training Using an Unsupervised Approach to Active Learning. Neural Processing Letters 15(3): 247-260 (2002)

Andries Petrus Engelbrecht: Sensitivity Analysis for Selective Learning by Feedforward Neural Networks. Fundam. Inform. 45(4): 295-328 (2001)

Andries Petrus Engelbrecht: Sensitivity Analysis for Selective Learning by Feedforward Neural Networks. Fundam. Inform. 46(3): 219-252 (2001)

Andries Petrus Engelbrecht: A new pruning heuristic based on variance analysis of sensitivity information. IEEE Transactions on Neural Networks 12(6): 1386-1399 (2001)

Andries Petrus Engelbrecht: Selective Learning for Multilayer Feedforward Neural Networks. IWANN (1) 2001: 386-393

Andries Petrus Engelbrecht: Message from the Guest Editor. Int. J. Comput. Syst. Signal 1(1): 3-4 (2000)

Frans van den Bergh, Andries Petrus Engelbrecht: Cooperative learning in neural networks using particle swarm optimizers. South African Computer Journal 26: 84-90 (2000)

Andries Petrus Engelbrecht: Using the Taylor expansion of multilayer feedforward neural networks. South African Computer Journal 26: 181-189 (2000)

A. Ismail, Andries Petrus Engelbrecht: Global Optimization Algorithms for Training Product Unit Neural Networks. IJCNN (1) 2000: 132-137

Andries Petrus Engelbrecht: Sensitivity Analysis for Decision Boundaries. Neural Processing Letters 10(3): 253-266 (1999)

Andries Petrus Engelbrecht, H. L. Viktor: Rule Improvement Through Decision Boundary Detection Using Sensitivity Analysis. IWANN (2) 1999: 78-84

Andries Petrus Engelbrecht, Ian Cloete, Jaco Geldenhuys, Jacek M. Zurada: Automatic Scaling using Gamma Learning for Feedforward Neural Networks. IWANN 1995: 374-381

Andries Petrus Engelbrecht, Ian Cloete, Jacek M. Zurada: Determining the Significance of Input Parameters using Sensitivity Analysis. IWANN 1995: 382-388