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Katherine M. Malan
Katherine M. Malan
Department of Decision Sciences, UNISA
Подтвержден адрес электронной почты в домене ieee.org - Главная страница
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Процитировано
Процитировано
Год
A survey of techniques for characterising fitness landscapes and some possible ways forward
KM Malan, AP Engelbrecht
Information Sciences 241, 148-163, 2013
3282013
Benchmarking in optimization: Best practice and open issues
T Bartz-Beielstein, C Doerr, D Berg, J Bossek, S Chandrasekaran, ...
arXiv preprint arXiv:2007.03488, 2020
1522020
A survey of advances in landscape analysis for optimisation
KM Malan
Algorithms 14 (2), 40, 2021
1432021
Quantifying ruggedness of continuous landscapes using entropy
KM Malan, AP Engelbrecht
2009 IEEE Congress on evolutionary computation, 1440-1447, 2009
1362009
Search trajectory networks: A tool for analysing and visualising the behaviour of metaheuristics
G Ochoa, KM Malan, C Blum
Applied Soft Computing 109, 107492, 2021
862021
Fitness landscape analysis for metaheuristic performance prediction
KM Malan, AP Engelbrecht
Recent advances in the theory and application of fitness landscapes, 103-132, 2014
672014
A progressive random walk algorithm for sampling continuous fitness landscapes
KM Malan, AP Engelbrecht
2014 IEEE Congress on Evolutionary Computation (CEC), 2507-2514, 2014
562014
Search trajectory networks of population-based algorithms in continuous spaces
G Ochoa, KM Malan, C Blum
International Conference on the Applications of Evolutionary Computation …, 2020
482020
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
472013
Local optima networks for continuous fitness landscapes
J Adair, G Ochoa, KM Malan
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
462019
Characterising the searchability of continuous optimisation problems for PSO
KM Malan, AP Engelbrecht
Swarm Intelligence 8, 275-302, 2014
462014
Characterising continuous optimisation problems for particle swarm optimisation performance prediction
KM Malan
University of Pretoria, 2014
422014
Adaptive genetic programming for dynamic classification problems
M Riekert, KM Malan, AP Engelbrect
2009 IEEE congress on evolutionary computation, 674-681, 2009
392009
Examples that can do harm in learning programming
K Malan, K Halland
Companion to the 19th annual ACM SIGPLAN conference on Object-oriented …, 2004
392004
A survey of automated financial statement fraud detection with relevance to the South African context
WT Mongwe, KM Malan
South African Computer Journal 32 (1), 74-112, 2020
382020
Characterising constrained continuous optimisation problems
KM Malan, JF Oberholzer, AP Engelbrecht
2015 IEEE Congress on Evolutionary Computation (CEC), 1351-1358, 2015
362015
Fitness landscape analysis of convolutional neural network architectures for image classification
NM Rodrigues, KM Malan, G Ochoa, L Vanneschi, S Silva
Information Sciences 609, 711-726, 2022
292022
Recent advances in fitness landscape analysis
G Ochoa, K Malan
Proceedings of the genetic and evolutionary computation conference companion …, 2019
292019
Particle swarm optimisation failure prediction based on fitness landscape characteristics
KM Malan, AP Engelbrecht
2014 IEEE Symposium on Swarm Intelligence, 1-9, 2014
292014
Virtual galleries: is 3D better?
Z Hendricks, J Tangkuampien, K Malan
Proceedings of the 2nd international conference on Computer graphics …, 2003
292003
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