Katherine M. Malan

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Andries EngelbrechtStellenbosch University, Department of Industrial Engineering, and Division of Computer ScienceVerified email at sun.ac.za
Gabriela OchoaProfessor of Computer Science, University of StirlingVerified email at cs.stir.ac.uk
Anna Sergeevna BosmanSenior Lecturer, University of PretoriaVerified email at cs.up.ac.za
Christian BlumSenior Research Scientist, Artificial Intelligence Research Institute (IIIA-CSIC)Verified email at iiia.csic.es
Ken HallandUniversity of South Africa, College of Science, Engineering and Technology, School of ComputingVerified email at unisa.ac.za
Pascal KerschkeProfessor of Big Data Analytics in Transportation, TU Dresden, GermanyVerified email at tu-dresden.de
Irene MoserAssociate Professor in Computer Science, Swinburne University of TechnologyVerified email at swin.edu.au
Jan EloffProfessor in Computer Science (Cyber security) University of PretoriaVerified email at up.ac.za
Jason AdairLecturer, University of StirlingVerified email at cs.stir.ac.uk
Stuart ReidUniversity of PretoriaVerified email at aerobotics.com
Edwin BlakeEmeritus Professor of Computer Science, University of Cape TownVerified email at cs.uct.ac.za
Eduan BekkerStudent, University of PretoriaVerified email at tuks.co.za
Gary MarsdenProfessor of Computer Science, University of Cape TownVerified email at cs.uct.ac.za
Helene GelderblomAssociate Professor, Dept of Informatics, University of PretoriaVerified email at up.ac.za
Aldeida AletiA/Prof, Faculty of Information Technology, Monash UniversityVerified email at monash.edu

Katherine M. Malan

Department of Decision Sciences, UNISA

Verified email at ieee.org - Homepage

Search Landscape Analysis Automated Algorithm Design Machine Learning Metaheuristics


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A survey of techniques for characterising fitness landscapes and some possible ways forward KM Malan, AP Engelbrecht Information Sciences 241, 148-163, 2013	290	2013
Quantifying ruggedness of continuous landscapes using entropy KM Malan, AP Engelbrecht 2009 IEEE Congress on evolutionary computation, 1440-1447, 2009	121	2009
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	108	2020
A survey of advances in landscape analysis for optimisation KM Malan Algorithms 14 (2), 40, 2021	101	2021
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	58	2021
Fitness landscape analysis for metaheuristic performance prediction KM Malan, AP Engelbrecht Recent advances in the theory and application of fitness landscapes, 103-132, 2014	55	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	49	2014
Examples that can do harm in learning programming K Malan, K Halland Companion to the 19th annual ACM SIGPLAN conference on Object-oriented …, 2004	42	2004
Characterising the searchability of continuous optimisation problems for PSO KM Malan, AP Engelbrecht Swarm Intelligence 8, 275-302, 2014	41	2014
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	41	2013
Characterising continuous optimisation problems for particle swarm optimisation performance prediction KM Malan University of Pretoria, 2014	40	2014
Adaptive genetic programming for dynamic classification problems M Riekert, KM Malan, AP Engelbrect 2009 IEEE congress on evolutionary computation, 674-681, 2009	39	2009
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	35	2020
Local optima networks for continuous fitness landscapes J Adair, G Ochoa, KM Malan Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019	31	2019
Characterising constrained continuous optimisation problems KM Malan, JF Oberholzer, AP Engelbrecht 2015 IEEE Congress on Evolutionary Computation (CEC), 1351-1358, 2015	30	2015
Particle swarm optimisation failure prediction based on fitness landscape characteristics KM Malan, AP Engelbrecht 2014 IEEE Symposium on Swarm Intelligence, 1-9, 2014	29	2014
Virtual galleries: is 3D better? Z Hendricks, J Tangkuampien, K Malan Proceedings of the 2nd international conference on Computer graphics …, 2003	29	2003
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	26	2020
Recent advances in fitness landscape analysis G Ochoa, K Malan Proceedings of the genetic and evolutionary computation conference companion …, 2019	25	2019
Characterising neutrality in neural network error landscapes WA van Aardt, AS Bosman, KM Malan 2017 IEEE congress on evolutionary computation (CEC), 1374-1381, 2017	25	2017

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