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Andries Petrus Engelbrecht: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Mahamed G. Omran, Ayed A. Salman, Andries Petrus Engelbrecht
    Self-adaptive Differential Evolution. [Citation Graph (0, 0)][DBLP]
    CIS (1), 2005, pp:192-199 [Conf]
  2. Mahamed G. Omran, Andries Petrus Engelbrecht, Ayed A. Salman
    Using the Ring Neighborhood Topology with Self-adaptive Differential Evolution. [Citation Graph (0, 0)][DBLP]
    ICNC (1), 2006, pp:976-979 [Conf]
  3. A. Ismail, Andries Petrus Engelbrecht
    Global Optimization Algorithms for Training Product Unit Neural Networks. [Citation Graph (0, 0)][DBLP]
    IJCNN (1), 2000, pp:132-137 [Conf]
  4. Andries Petrus Engelbrecht
    Selective Learning for Multilayer Feedforward Neural Networks. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2001, pp:386-393 [Conf]
  5. Andries Petrus Engelbrecht, Ian Cloete, Jaco Geldenhuys, Jacek M. Zurada
    Automatic Scaling using Gamma Learning for Feedforward Neural Networks. [Citation Graph (0, 0)][DBLP]
    IWANN, 1995, pp:374-381 [Conf]
  6. Andries Petrus Engelbrecht, Ian Cloete, Jacek M. Zurada
    Determining the Significance of Input Parameters using Sensitivity Analysis. [Citation Graph (0, 0)][DBLP]
    IWANN, 1995, pp:382-388 [Conf]
  7. Andries Petrus Engelbrecht, H. L. Viktor
    Rule Improvement Through Decision Boundary Detection Using Sensitivity Analysis. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 1999, pp:78-84 [Conf]
  8. Isabella Schoeman, Andries Petrus Engelbrecht
    Niching for Dynamic Environments Using Particle Swarm Optimization. [Citation Graph (0, 0)][DBLP]
    SEAL, 2006, pp:134-141 [Conf]
  9. Johan Conradie, Andries Petrus Engelbrecht
    Training Bao Game-Playing Agents using Coevolutionary Particle Swarm Optimization. [Citation Graph (0, 0)][DBLP]
    CIG, 2006, pp:67-74 [Conf]
  10. Evangelos Papacostantis, Andries Petrus Engelbrecht, Nelis Franken
    Coevolving Probabilistic Game Playing Agents using Particle Swarm Optimization Algorithm. [Citation Graph (0, 0)][DBLP]
    CIG, 2005, pp:- [Conf]
  11. Andries Petrus Engelbrecht
    Sensitivity Analysis for Selective Learning by Feedforward Neural Networks. [Citation Graph (0, 0)][DBLP]
    Fundam. Inform., 2001, v:45, n:4, pp:295-328 [Journal]
  12. Andries Petrus Engelbrecht
    Sensitivity Analysis for Selective Learning by Feedforward Neural Networks. [Citation Graph (0, 0)][DBLP]
    Fundam. Inform., 2001, v:46, n:3, pp:219-252 [Journal]
  13. Ulrich Paquet, Andries Petrus Engelbrecht
    Particle Swarms for Linearly Constrained Optimisation. [Citation Graph (0, 0)][DBLP]
    Fundam. Inform., 2007, v:76, n:1-2, pp:147-170 [Journal]
  14. Andries Petrus Engelbrecht
    Message from the Guest Editor. [Citation Graph (0, 0)][DBLP]
    Int. J. Comput. Syst. Signal, 2000, v:1, n:1, pp:3-4 [Journal]
  15. Mahamed G. Omran, Andries Petrus Engelbrecht, Ayed A. Salman
    Particle swarm optimization method for image clustering. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2005, v:19, n:3, pp:297-321 [Journal]
  16. Mahamed G. Omran, Andries Petrus Engelbrecht, Ayed A. Salman
    A Color Image Quantization Algorithm Based on Particle Swarm Optimization. [Citation Graph (0, 0)][DBLP]
    Informatica (Slovenia), 2005, v:29, n:3, pp:261-270 [Journal]
  17. F. Van den Bergh, Andries Petrus Engelbrecht
    A study of particle swarm optimization particle trajectories. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2006, v:176, n:8, pp:937-971 [Journal]
  18. Andries Petrus Engelbrecht
    Computational Intelligence: An Introduction. [Citation Graph (0, 0)][DBLP]
    J. Artificial Societies and Social Simulation, 2004, v:7, n:1, pp:- [Journal]
  19. Andries Petrus Engelbrecht
    Sensitivity Analysis for Decision Boundaries. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 1999, v:10, n:3, pp:253-266 [Journal]
  20. Andries Petrus Engelbrecht, R. Brits
    Supervised Training Using an Unsupervised Approach to Active Learning. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2002, v:15, n:3, pp:247-260 [Journal]
  21. Mahamed G. Omran, Ayed A. Salman, Andries Petrus Engelbrecht
    Dynamic clustering using particle swarm optimization with application in image segmentation. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2006, v:8, n:4, pp:332-344 [Journal]
  22. F. Van den Bergh, Andries Petrus Engelbrecht
    Cooperative learning in neural networks using particle swarm optimizers. [Citation Graph (0, 0)][DBLP]
    South African Computer Journal, 2000, v:26, n:, pp:84-90 [Journal]
  23. W. H. Duminy, Andries Petrus Engelbrecht
    Composing linear evaluation functions from observable features. [Citation Graph (0, 0)][DBLP]
    South African Computer Journal, 2005, v:35, n:, pp:48-58 [Journal]
  24. D. Rodic, Andries Petrus Engelbrecht
    Social networks as a task allocation tool for multi-robot teams. [Citation Graph (0, 0)][DBLP]
    South African Computer Journal, 2004, v:33, n:, pp:52-66 [Journal]
  25. Andries Petrus Engelbrecht
    Using the Taylor expansion of multilayer feedforward neural networks. [Citation Graph (0, 0)][DBLP]
    South African Computer Journal, 2000, v:26, n:, pp:181-189 [Journal]
  26. Nelis Franken, Andries Petrus Engelbrecht
    Evolving intelligent game-playing agents. [Citation Graph (0, 0)][DBLP]
    South African Computer Journal, 2004, v:32, n:, pp:44-52 [Journal]
  27. Nelis Franken, Andries Petrus Engelbrecht
    Evolving intelligent game-playing agent. [Citation Graph (0, 0)][DBLP]
    South African Computer Journal, 2005, v:34, n:, pp:87- [Journal]
  28. P. E. N. Lutu, Andries Petrus Engelbrecht
    A comparative study of sample selection methods for classification. [Citation Graph (0, 0)][DBLP]
    South African Computer Journal, 2006, v:36, n:, pp:69-85 [Journal]
  29. Nelis Franken, Andries Petrus Engelbrecht
    Particle swarm optimization approaches to coevolve strategies for the iterated prisoner's dilemma. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2005, v:9, n:6, pp:562-579 [Journal]
  30. L. Messerschmidt, Andries Petrus Engelbrecht
    Learning to Play Games Using a PSO-Based Competitive Learning Approach. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2004, v:8, n:3, pp:280-288 [Journal]
  31. F. vandenBergh, Andries Petrus Engelbrecht
    A Cooperative Approach to Particle Swarm Optimization. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2004, v:8, n:3, pp:225-239 [Journal]
  32. Xiaodong Li, Andries Petrus Engelbrecht
    Particle swarm optimization: an introduction and its recent developments. [Citation Graph (0, 0)][DBLP]
    GECCO (Companion), 2007, pp:3391-3414 [Conf]
  33. Nelis Franken, Andries Petrus Engelbrecht
    Investigating binary PSO parameter influence on the knights cover problem. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:282-289 [Conf]
  34. Auralia I. Edwards, Andries Petrus Engelbrecht, Nelis Franken
    Nonlinear mapping using particle swarm optimisation. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:306-313 [Conf]
  35. Mahamed G. Omran, Andries Petrus Engelbrecht, Ayed Salman
    Differential evolution methods for unsupervised image classification. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:966-973 [Conf]
  36. Gary Pampara, Nelis Franken, Andries Petrus Engelbrecht
    Combining particle swarm optimisation with angle modulation to solve binary problems. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:89-96 [Conf]
  37. Salman A. Khan, Andries Petrus Engelbrecht
    A new fuzzy operator and its application to topology design of distributed local area networks. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2007, v:177, n:13, pp:2692-2711 [Journal]

  38. CIlib: A collaborative framework for Computational Intelligence algorithms - Part II. [Citation Graph (, )][DBLP]


  39. A comparison of map neuron labeling approaches for unsupervised self-organizing feature maps. [Citation Graph (, )][DBLP]


  40. CIlib: A collaborative framework for Computational Intelligence algorithms - Part I. [Citation Graph (, )][DBLP]


  41. Implementation of Binary Particle Swarm Optimization for DNA Sequence Design. [Citation Graph (, )][DBLP]


  42. A Model to Optimize DNA Sequences Based on Particle Swarm Optimization. [Citation Graph (, )][DBLP]


  43. HybridSOM: A generic rule extraction framework for self-organizing feature maps. [Citation Graph (, )][DBLP]


  44. Data clustering using particle swarm optimization. [Citation Graph (, )][DBLP]


  45. A new particle swarm optimiser for linearly constrained optimisation. [Citation Graph (, )][DBLP]


  46. Comparing PSO structures to learn the game of checkers from zero knowledge. [Citation Graph (, )][DBLP]


  47. Differential evolution for integer programming problems. [Citation Graph (, )][DBLP]


  48. Binary differential evolution strategies. [Citation Graph (, )][DBLP]


  49. Differential evolution in high-dimensional search spaces. [Citation Graph (, )][DBLP]


  50. A local network neighbourhood artificial immune system for data clustering. [Citation Graph (, )][DBLP]


  51. Self-adaptive barebones differential evolution. [Citation Graph (, )][DBLP]


  52. Enhancing the NichePSO. [Citation Graph (, )][DBLP]


  53. Measuring exploration/exploitation in particle swarms using swarm diversity. [Citation Graph (, )][DBLP]


  54. Multi-objective DE and PSO strategies for production scheduling. [Citation Graph (, )][DBLP]


  55. Solving dynamic multi-objective problems with vector evaluated particle swarm optimisation. [Citation Graph (, )][DBLP]


  56. Improved differential evolution for dynamic optimization problems. [Citation Graph (, )][DBLP]


  57. Towards a self regulating local network neighbourhood artificial immune system for data clustering. [Citation Graph (, )][DBLP]


  58. Cooperative charged particle swarm optimiser. [Citation Graph (, )][DBLP]


  59. Algorithm comparisons and the significance of population size. [Citation Graph (, )][DBLP]


  60. An analysis of heterogeneous cooperative algorithms. [Citation Graph (, )][DBLP]


  61. Employing the flocking behavior of birds for controlling congestion in autonomous decentralized networks. [Citation Graph (, )][DBLP]


  62. Training neural networks with PSO in dynamic environments. [Citation Graph (, )][DBLP]


  63. Hybridizing PSO and DE for improved vector evaluated multi-objective optimization. [Citation Graph (, )][DBLP]


  64. Free Search Differential Evolution. [Citation Graph (, )][DBLP]


  65. Adaptive Genetic Programming for dynamic classification problems. [Citation Graph (, )][DBLP]


  66. Quantifying ruggedness of continuous landscapes using entropy. [Citation Graph (, )][DBLP]


  67. Scalability of the vector-based Particle Swarm Optimizer. [Citation Graph (, )][DBLP]


  68. Congestion Control in Wireless Sensor Networks Based on the Bird Flocking Behavior. [Citation Graph (, )][DBLP]


  69. A polar coordinate particle swarm optimiser. [Citation Graph (, )][DBLP]


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