John McCall
TitleCited byYear
Genetic algorithms for modelling and optimisation
J McCall
Journal of Computational and Applied Mathematics 184 (1), 205-222, 2005
5062005
Optimization by estimation of distribution with DEUM framework based on Markov random fields
S Shakya, J McCall
International Journal of Automation and Computing 4 (3), 262-272, 2007
842007
D2MOPSO: MOPSO based on Decomposition and Dominance with Archiving using Crowding Distance in Objective and Solution Spaces
N Al Moubayed, A Pertovski, J McCall
Evolutionary Computation 22 (1), 47-77, 2013
812013
A novel smart multi-objective particle swarm optimisation using decomposition
N Al Moubayed, A Petrovski, J McCall
International Conference on Parallel Problem Solving from Nature, 1-10, 2010
672010
A chain-model genetic algorithm for Bayesian network structure learning
R Kabli, F Herrmann, J McCall
Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007
502007
Multi-objective optimisation of cancer chemotherapy using evolutionary algorithms
A Petrovski, J McCall
International Conference on Evolutionary Multi-Criterion Optimization, 531-545, 2001
502001
Using a Markov network model in a univariate EDA: an empirical cost-benefit analysis
S Shakya, J McCall, D Brown
Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005
492005
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
A Petrovski, S Shakya, J McCall
Proceedings of the 8th annual conference on Genetic and evolutionary …, 2006
462006
Optimising cancer chemotherapy using particle swarm optimisation and genetic algorithms
A Petrovski, B Sudha, J McCall
International Conference on Parallel Problem Solving from Nature, 633-641, 2004
432004
Approaches to selection and their effect on fitness modelling in an estimation of distribution algorithm
AEI Brownlee, JAW McCall, Q Zhang, DF Brown
2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008
412008
A decision support system for cancer chemotherapy using genetic algorithms
J McCall, A Petrovski
Proceedings of the international conference on computational intelligence …, 1999
411999
Two novel Ant Colony Optimization approaches for Bayesian network structure learning
Y Wu, J McCall, D Corne
IEEE Congress on Evolutionary Computation, 1-7, 2010
392010
Solving the Ising spin glass problem using a bivariate EDA based on Markov random fields
SK Shakya, JAW McCall, DF Brown
2006 IEEE International Conference on Evolutionary Computation, 908-915, 2006
372006
Machine learning for improved pathological staging of prostate cancer: a performance comparison on a range of classifiers
O Regnier-Coudert, J McCall, R Lothian, T Lam, S McClinton, J N’Dow
Artificial intelligence in medicine 55 (1), 25-35, 2012
332012
An application of a multivariate estimation of distribution algorithm to cancer chemotherapy
AEI Brownlee, M Pelikan, JAW McCall, A Petrovski
Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008
302008
A fully multivariate DEUM algorithm
S Shakya, A Brownlee, J McCall, F Fournier, G Owusu
2009 IEEE Congress on Evolutionary Computation, 479-486, 2009
282009
Evolutionary algorithms for cancer chemotherapy optimization
J McCall, A Petrovski, S Shakya
Computational Intelligence in Bioinformatics 7, 265, 2007
282007
Statistical optimisation and tuning of GA factors
A Petrovski, A Brownlee, J McCall
2005 IEEE Congress on Evolutionary Computation 1, 758-764, 2005
272005
Updating the probability vector using MRF technique for a Univariate EDA
SK Shakya, JAW McCall, DF Brown
Proceedings of the Second Starting AI Researchers’ Symposium 109, 15-25, 2004
272004
Structure learning and optimisation in a markov network based estimation of distribution algorithm
AEI Brownlee, JAW McCall, SK Shakya, Q Zhang
Exploitation of linkage learning in evolutionary algorithms, 45-69, 2010
242010
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Articles 1–20