Katherine Malan
Katherine Malan
Department of Decision Sciences, UNISA
Verified email at ieee.org - Homepage
TitleCited byYear
A survey of techniques for characterising fitness landscapes and some possible ways forward
KM Malan, AP Engelbrecht
Information Sciences 241, 148-163, 2013
Quantifying ruggedness of continuous landscapes using entropy
KM Malan, AP Engelbrecht
2009 IEEE Congress on evolutionary computation, 1440-1447, 2009
Examples that can do harm in learning programming
K Malan, K Halland
Companion to the 19th annual ACM SIGPLAN conference on Object-oriented …, 2004
Adaptive genetic programming for dynamic classification problems
M Riekert, KM Malan, AP Engelbrect
2009 IEEE Congress on Evolutionary Computation, 674-681, 2009
Fitness landscape analysis for metaheuristic performance prediction
KM Malan, AP Engelbrecht
Recent advances in the theory and application of fitness landscapes, 103-132, 2014
Characterising continuous optimisation problems for particle swarm optimisation performance prediction
KM Malan
University of Pretoria, 2014
Virtual galleries: is 3D better?
Z Hendricks, J Tangkuampien, K Malan
Proceedings of the 2nd international conference on Computer graphics …, 2003
Ruggedness, funnels and gradients in fitness landscapes and the effect on PSO performance
KM Malan, AP Engelbrecht
2013 IEEE Congress on Evolutionary Computation, 963-970, 2013
Characterising the searchability of continuous optimisation problems for PSO
KM Malan, AP Engelbrecht
Swarm Intelligence 8 (4), 275-302, 2014
Introducing Delphi Programming, Theory through practice, Fourth edition
J Barrow, L Miller, K Malan, H Gelderblom
Oxford University Press, Southern Africa, 2005
Particle swarm optimisation failure prediction based on fitness landscape characteristics
KM Malan, AP Engelbrecht
2014 IEEE Symposium on Swarm Intelligence, 1-9, 2014
A progressive random walk algorithm for sampling continuous fitness landscapes
KM Malan, AP Engelbrecht
2014 IEEE Congress on Evolutionary Computation (CEC), 2507-2514, 2014
Analysis of stagnation behavior of vector evaluated particle swarm optimization
W Matthysen, AP Engelbrecht, KM Malan
2013 IEEE Symposium on Swarm Intelligence (SIS), 155-163, 2013
Characterising constrained continuous optimisation problems
KM Malan, JF Oberholzer, AP Engelbrecht
2015 IEEE Congress on Evolutionary Computation (CEC), 1351-1358, 2015
Saccade deviation indicators for automated eye tracking analysis
JA De Bruin, KM Malan, JHP Eloff
Proceedings of the 2013 conference on eye tracking south africa, 47-54, 2013
Algorithm comparisons and the significance of population size
KM Malan, AP Engelbrecht
2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008
Analysis of error landscapes in multi-layered neural networks for classification
A Rakitianskaia, E Bekker, KM Malan, A Engelbrecht
2016 IEEE Congress on Evolutionary Computation (CEC), 5270-5277, 2016
Constraint handling methods for portfolio optimization using particle swarm optimization
SG Reid, KM Malan
2015 IEEE Symposium Series on Computational Intelligence, 1766-1773, 2015
Steep gradients as a predictor of PSO failure
KM Malan, AP Engelbrecht
Proceedings of the 15th annual conference companion on Genetic and …, 2013
Reflections by teachers learning to program
K Halland, K Malan
Proceedings of the 2003 annual research conference of the South African …, 2003
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