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 |