2009 |
65 | EE | Mahamed G. H. Omran,
Andries Petrus Engelbrecht,
Ayed A. Salman:
Bare bones differential evolution.
European Journal of Operational Research 196(1): 128-139 (2009) |
64 | EE | 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) |
2008 |
63 | EE | 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 |
62 | EE | Olusegun Olorunda,
Andries Petrus Engelbrecht:
Measuring exploration/exploitation in particle swarms using swarm diversity.
IEEE Congress on Evolutionary Computation 2008: 1128-1134 |
61 | EE | 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 |
60 | EE | Mathys C. du Plessis,
Andries Petrus Engelbrecht:
Improved differential evolution for dynamic optimization problems.
IEEE Congress on Evolutionary Computation 2008: 229-234 |
59 | EE | Mardé Greeff,
Andries Petrus Engelbrecht:
Solving dynamic multi-objective problems with vector evaluated particle swarm optimisation.
IEEE Congress on Evolutionary Computation 2008: 2917-2924 |
58 | EE | 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 |
57 | EE | Katherine Malan,
Andries Petrus Engelbrecht:
Algorithm comparisons and the significance of population size.
IEEE Congress on Evolutionary Computation 2008: 914-920 |
56 | EE | Anna Rakitianskaia,
Andries Petrus Engelbrecht:
Cooperative charged particle swarm optimiser.
IEEE Congress on Evolutionary Computation 2008: 933-939 |
55 | EE | Gary Pampara,
Andries Petrus Engelbrecht,
T. Cloete:
CIlib: A collaborative framework for Computational Intelligence algorithms - Part I.
IJCNN 2008: 1750-1757 |
54 | EE | T. Cloete,
Andries Petrus Engelbrecht,
Gary Pampara:
CIlib: A collaborative framework for Computational Intelligence algorithms - Part II.
IJCNN 2008: 1764-1773 |
53 | EE | Willem S. van Heerden,
Andries Petrus Engelbrecht:
A comparison of map neuron labeling approaches for unsupervised self-organizing feature maps.
IJCNN 2008: 2139-2146 |
52 | EE | Gavin Potgieter,
Andries Petrus Engelbrecht:
Evolving model trees for mining data sets with continuous-valued classes.
Expert Syst. Appl. 35(4): 1513-1532 (2008) |
2007 |
51 | EE | Xiaodong Li,
Andries Petrus Engelbrecht:
Particle swarm optimization: an introduction and its recent developments.
GECCO (Companion) 2007: 3391-3414 |
50 | EE | Olusegun Olorunda,
Andries Petrus Engelbrecht:
Differential evolution in high-dimensional search spaces.
IEEE Congress on Evolutionary Computation 2007: 1934-1941 |
49 | EE | Andries Petrus Engelbrecht,
Gary Pampara:
Binary differential evolution strategies.
IEEE Congress on Evolutionary Computation 2007: 1942-1947 |
48 | EE | Mahamed G. H. Omran,
Andries Petrus Engelbrecht:
Differential evolution for integer programming problems.
IEEE Congress on Evolutionary Computation 2007: 2237-2242 |
47 | EE | Andries Petrus Engelbrecht,
L. N. H. van Loggerenberg:
Enhancing the NichePSO.
IEEE Congress on Evolutionary Computation 2007: 2297-2302 |
46 | EE | A. J. Graaff,
Andries Petrus Engelbrecht:
A local network neighbourhood artificial immune system for data clustering.
IEEE Congress on Evolutionary Computation 2007: 260-267 |
45 | EE | Mahamed G. H. Omran,
Andries Petrus Engelbrecht,
Ayed A. Salman:
Self-adaptive barebones differential evolution.
IEEE Congress on Evolutionary Computation 2007: 2858-2865 |
44 | EE | Gavin Potgieter,
Andries Petrus Engelbrecht:
Genetic algorithms for the structural optimisation of learned polynomial expressions.
Applied Mathematics and Computation 186(2): 1441-1466 (2007) |
43 | EE | R. Brits,
Andries Petrus Engelbrecht,
F. Van den Bergh:
Locating multiple optima using particle swarm optimization.
Applied Mathematics and Computation 189(2): 1859-1883 (2007) |
42 | EE | 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) |
41 | EE | Ulrich Paquet,
Andries Petrus Engelbrecht:
Particle Swarms for Linearly Constrained Optimisation.
Fundam. Inform. 76(1-2): 147-170 (2007) |
40 | EE | 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) |
39 | EE | Mahamed G. Omran,
Andries Petrus Engelbrecht,
Ayed A. Salman:
An overview of clustering methods.
Intell. Data Anal. 11(6): 583-605 (2007) |
2006 |
38 | EE | Johan Conradie,
Andries Petrus Engelbrecht:
Training Bao Game-Playing Agents using Coevolutionary Particle Swarm Optimization.
CIG 2006: 67-74 |
37 | EE | Mahamed G. Omran,
Andries Petrus Engelbrecht,
Ayed A. Salman:
Using the Ring Neighborhood Topology with Self-adaptive Differential Evolution.
ICNC (1) 2006: 976-979 |
36 | EE | Isabella Schoeman,
Andries Petrus Engelbrecht:
Niching for Dynamic Environments Using Particle Swarm Optimization.
SEAL 2006: 134-141 |
35 | EE | 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 |
34 | EE | F. Van den Bergh,
Andries Petrus Engelbrecht:
A study of particle swarm optimization particle trajectories.
Inf. Sci. 176(8): 937-971 (2006) |
33 | EE | 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) |
32 | | P. E. N. Lutu,
Andries Petrus Engelbrecht:
A comparative study of sample selection methods for classification.
South African Computer Journal 36: 69-85 (2006) |
2005 |
31 | EE | Evangelos Papacostantis,
Andries Petrus Engelbrecht,
Nelis Franken:
Coevolving Probabilistic Game Playing Agents using Particle Swarm Optimization Algorithm.
CIG 2005 |
30 | EE | Mahamed G. Omran,
Ayed A. Salman,
Andries Petrus Engelbrecht:
Self-adaptive Differential Evolution.
CIS (1) 2005: 192-199 |
29 | EE | Nelis Franken,
Andries Petrus Engelbrecht:
Investigating binary PSO parameter influence on the knights cover problem.
Congress on Evolutionary Computation 2005: 282-289 |
28 | EE | Auralia I. Edwards,
Andries Petrus Engelbrecht,
Nelis Franken:
Nonlinear mapping using particle swarm optimisation.
Congress on Evolutionary Computation 2005: 306-313 |
27 | EE | 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 |
26 | EE | Mahamed G. Omran,
Andries Petrus Engelbrecht,
Ayed A. Salman:
Differential evolution methods for unsupervised image classification.
Congress on Evolutionary Computation 2005: 966-973 |
25 | EE | 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) |
24 | EE | Mahamed G. Omran,
Andries Petrus Engelbrecht,
Ayed A. Salman:
Particle swarm optimization method for image clustering.
IJPRAI 19(3): 297-321 (2005) |
23 | EE | 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) |
22 | | Nelis Franken,
Andries Petrus Engelbrecht:
Evolving intelligent game-playing agent.
South African Computer Journal 34: 87 (2005) |
21 | | W. H. Duminy,
Andries Petrus Engelbrecht:
Composing linear evaluation functions from observable features.
South African Computer Journal 35: 48-58 (2005) |
2004 |
20 | | F. vandenBergh,
Andries Petrus Engelbrecht:
A Cooperative Approach to Particle Swarm Optimization.
IEEE Trans. Evolutionary Computation 8(3): 225-239 (2004) |
19 | | 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) |
18 | EE | Andries Petrus Engelbrecht:
Computational Intelligence: An Introduction.
J. Artificial Societies and Social Simulation 7(1): (2004) |
17 | | Nelis Franken,
Andries Petrus Engelbrecht:
Evolving intelligent game-playing agents.
South African Computer Journal 32: 44-52 (2004) |
16 | | D. Rodic,
Andries Petrus Engelbrecht:
Social networks as a task allocation tool for multi-robot teams.
South African Computer Journal 33: 52-66 (2004) |
2003 |
15 | EE | D. W. van der Merwe,
Andries Petrus Engelbrecht:
Data clustering using particle swarm optimization.
IEEE Congress on Evolutionary Computation (1) 2003: 215-220 |
14 | EE | Ulrich Paquet,
Andries Petrus Engelbrecht:
A new particle swarm optimiser for linearly constrained optimisation.
IEEE Congress on Evolutionary Computation (1) 2003: 227-233 |
13 | EE | 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 |
2002 |
12 | | Andries Petrus Engelbrecht,
R. Brits:
Supervised Training Using an Unsupervised Approach to Active Learning.
Neural Processing Letters 15(3): 247-260 (2002) |
2001 |
11 | EE | Andries Petrus Engelbrecht:
Selective Learning for Multilayer Feedforward Neural Networks.
IWANN (1) 2001: 386-393 |
10 | | Andries Petrus Engelbrecht:
Sensitivity Analysis for Selective Learning by Feedforward Neural Networks.
Fundam. Inform. 45(4): 295-328 (2001) |
9 | | Andries Petrus Engelbrecht:
Sensitivity Analysis for Selective Learning by Feedforward Neural Networks.
Fundam. Inform. 46(3): 219-252 (2001) |
2000 |
8 | EE | A. Ismail,
Andries Petrus Engelbrecht:
Global Optimization Algorithms for Training Product Unit Neural Networks.
IJCNN (1) 2000: 132-137 |
7 | EE | Andries Petrus Engelbrecht:
Message from the Guest Editor.
Int. J. Comput. Syst. Signal 1(1): 3-4 (2000) |
6 | | Andries Petrus Engelbrecht:
Using the Taylor expansion of multilayer feedforward neural networks.
South African Computer Journal 26: 181-189 (2000) |
5 | | F. Van den Bergh,
Andries Petrus Engelbrecht:
Cooperative learning in neural networks using particle swarm optimizers.
South African Computer Journal 26: 84-90 (2000) |
1999 |
4 | | Andries Petrus Engelbrecht,
H. L. Viktor:
Rule Improvement Through Decision Boundary Detection Using Sensitivity Analysis.
IWANN (2) 1999: 78-84 |
3 | | Andries Petrus Engelbrecht:
Sensitivity Analysis for Decision Boundaries.
Neural Processing Letters 10(3): 253-266 (1999) |
1995 |
2 | | Andries Petrus Engelbrecht,
Ian Cloete,
Jaco Geldenhuys,
Jacek M. Zurada:
Automatic Scaling using Gamma Learning for Feedforward Neural Networks.
IWANN 1995: 374-381 |
1 | | Andries Petrus Engelbrecht,
Ian Cloete,
Jacek M. Zurada:
Determining the Significance of Input Parameters using Sensitivity Analysis.
IWANN 1995: 382-388 |