Sid Shakya
Sid Shakya
EBTIC, Khalifa University and BT
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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
DEUM: A framework for an Estimation of Distribution Algorithm based on Markov Random Fields
S Shakya
The Robert Gordon University, 2006
Mateda-2.0: Estimation of distribution algorithms in MATLAB
R Santana, C Bielza, P Larranaga, JA Lozano, C Echegoyen, ...
Journal of Statistical Software 35 (7), 1-30, 2010
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
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
A multi-objective genetic type-2 fuzzy logic based system for mobile field workforce area optimization
A Starkey, H Hagras, S Shakya, G Owusu
Information Sciences 329, 390-411, 2016
A markovianity based optimisation algorithm
S Shakya, R Santana, JA Lozano
Genetic Programming and Evolvable Machines 13 (2), 159-195, 2012
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
An EDA based on local Markov property and Gibbs sampling
S Shakya, R Santana
Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008
A fully multivariate DEUM algorithm
S Shakya, A Brownlee, J McCall, F Fournier, G Owusu
2009 IEEE Congress on Evolutionary Computation, 479-486, 2009
Evolutionary algorithms for cancer chemotherapy optimization
J McCall, A Petrovski, S Shakya
Computational Intelligence in Bioinformatics 7, 265, 2007
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
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
Markov Networks in Evolutionary Computation
S Shakya
Springer, 2012
MATEDA: A suite of EDA programs in Matlab
R Santana, C Echegoyen, A Mendiburu, C Bielza, JA Lozano, ...
Dept. Comput. Sci. Artif. Intell., Univ. Basque Country, Bilbao, Spain, Res …, 2009
Neural network demand models and evolutionary optimisers for dynamic pricing
S Shakya, M Kern, G Owusu, CM Chin
Knowledge-Based Systems 29, 44-53, 2012
An application of EDA and GA to dynamic pricing
S Shakya, F Oliveira, G Owusu
Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007
An order level inventory model for perishable items with stock dependent demand and partial backlogging
RK Arya, SR Singh, SK Shakya
International Journal of Computational and Applied Mathematics 4 (1), 19-29, 2009
Incorporating a Metropolis method in a distribution estimation using Markov random field algorithm
SK Shakya, JAW McCall, DF Brown
2005 IEEE Congress on Evolutionary Computation 3, 2576-2583, 2005
Estimating the distribution in an EDA
S Shakya, J McCall, DF Brown
Adaptive and Natural Computing Algorithms, 202-205, 2005
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