Faculty of Engineering, Built Environment and Information Technology
School of Information Technology
Department of Computer Science
Computational Intelligence - Research Output
Research articles in refereed specialist journals:
Graaff AJ, Engelbrecht AP: 2011. Using Sequential Deviation to Dynamically Determine the number of clusters found by a Local Network Neighbourhood Artificial Immune System. Applied Soft Computing, 11 / Oct, pp 2698-2713, Full Text
Matthysen W, Engelbrecht AP: 2011. A polar coordinate particle swarm optimiser. Applied Soft Computing, 11, pp 1322-1339, Full Text
Graaff AJ, Engelbrecht AP: 2011. Clustering data in an uncertain environment using an artificial immune system. Pattern Recognition Letters, 32, pp 342-351, Full Text
Papers in refereed, published conference proceedings:
Lutu PEN: 2011. Using Confusion Matrices and Confusion Graphs to Design Ensemble Classification Models from Large Datasets. In 13th International Conference, DaWaK 2011 Proceedings, (1), Springer, pp 301-315.
De Bruyn C, Nitschke G, van Heerden WS: 2011. Evolutionary Algorithms and Particle Swarm Optimization for Artificial Language Evolution. In 2011 IEEE Congress on Evolutionary Computation (CEC), (5), IEEE, pp 2701-2708.
Helbig M, Engelbrecht AP: 2011. Archive Management for Dynamic Multi-objective Optimisation Problems using Vector Evaluated Particle Swarm Optimization. In 2011 IEEE Congress on Evolutionary Computation (CEC), (1), IEEE, pp 1-8 CD.
Dymond ASD, Engelbrecht AP, Heyns PS: 2011. The Sensitivity of Single Objective Optimization Algorithm Control Parameter Values under different Computational Constraints. In 2011 IEEE Congress on Evolutionary Computation (CEC), (3), IEEE, pp 1-8 CD.
Grobler J, Engelbrecht AP, Kendall G, Yadavalli VSS: 2011. Investigating the Impact of Alternative Evolutionary Selection Strategies on Multi-method Global Optimization. In 2011 IEEE Congress on Evolutionary Computation (CEC), (2), IEEE, pp 1-8 CD.
Viljoen CM, Nitschke G, van Heerden WS: 2011. Evolution of a Fictional Dialogue. In 2011 IEEE Congress on Evolutionary Computation (CEC), (4), IEEE, pp 1100-1107.
Khan SA, Engelbrecht AP: 2011. Assessment of the "Evaluation" Function in the Simulated Evolution Algorithm. In 2011 Seventh International Conference on Natural Computation, (1), IEEE, pp 1079-1083.
du Plessis MC, Engelbrecht AP: 2011. Self-Adaptive Competitive Differential Evolution for Dynamic Environments. In IEEE SSCI 2011 Symposium Series on Computational Intelligence: Differential Evolution, (4), IEEE, pp 41-48.
Nicholls JF, Malan KM, Engelbrecht AP: 2011. Comparison of Trade Decision Strategies in an Equity Market GA Trader. In IEEE SSCI 2011 Symposium Series on Computational Intelligence for Financial Engineering & Economics, (5), IEEE, pp 51-58.
Papacostantis E, Engelbrecht AP: 2011. Coevolutionary Particle Swarm Optimization for Evolving Trend Reversal Indicators. In IEEE SSCI 2011 Symposium Series on Computational Intelligence for Financial Engineering & Economics, (3), IEEE, pp 27-34.
Engelbrecht AP: 2011. Scalability of a Heterogeneous Particle Swarm Optimizer. In IEEE SSCI 2011 Symposium Series on Computational Intelligence: Swarm Intelligence, (1), IEEE, pp 1-8.
Pampara G, Engelbrecht AP: 2011. Binary Artificial Bee Colony Optimization. In IEEE SSCI 2011 Symposium Series on Computational Intelligence: Swarm Intelligence, (7), IEEE, pp 170-177.
Leonard B, Engelbrecht AP, Van Wyk AB: 2011. Heterogeneous Particle Swarms in Dynamic Environments. In IEEE SSCI 2011 Symposium Series on Computational Intelligence: Swarm Intelligence, (2), IEEE, pp 9-16.
Van Wyk AB, Engelbrecht AP: 2011. Lambda-Gamma Learning with Feedforward Neural Networks using Particle Swarm Optimization. In IEEE SSCI 2011 Symposium Series on Computational Intelligence: Swarm Intelligence, (6), IEEE, pp 52-59.
Klazar RDA, Engelbrecht AP: 2011. Dynamic Load Balancing Inspired by Division of Labour in Ant Colonies. In IEEE SSCI 2011 Symposium Series on Computational Intelligence: Swarm Intelligence, (8), IEEE, pp 184-191.
Lutu PEN: 2011. Empirical comparison of four classifier fusion strategies for positive-versus-negative ensembles. In Proceedings of the 2011 Annual Conference of the South African Institute of Computer Science and Information Technologists (SAICSIT 2011), (6), ACM, pp 302-305.
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