John McCall
Titel
Zitiert von
Zitiert von
Jahr
Genetic algorithms for modelling and optimisation
J McCall
Journal of computational and Applied Mathematics 184 (1), 205-222, 2005
6342005
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
1062013
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
912007
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
742010
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
552007
Multi-objective optimisation of cancer chemotherapy using evolutionary algorithms
A Petrovski, J McCall
International Conference on Evolutionary Multi-Criterion Optimization, 531-545, 2001
542001
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
512006
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
512005
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
442004
A decision support system for cancer chemotherapy using genetic algorithms
J McCall, A Petrovski
Proceedings of the international conference on computational intelligence …, 1999
431999
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
422008
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
402010
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
382012
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
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
332008
Evolutionary algorithms for cancer chemotherapy optimization
J McCall, A Petrovski, S Shakya
Computational Intelligence in Bioinformatics 7, 265, 2007
292007
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
Statistical optimisation and tuning of GA factors
A Petrovski, A Brownlee, J McCall
2005 IEEE Congress on Evolutionary Computation 1, 758-764, 2005
282005
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
262010
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