Sid Shakya
Sid Shakya
EBTIC, Khalifa University and BT
Dirección de correo verificada de bt.com - Página principal
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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
872007
DEUM: a framework for an estimation of distribution algorithm based on Markov random fields.
SK Shakya
712020
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
542010
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
502005
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
492006
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
462016
A markovianity based optimisation algorithm
S Shakya, R Santana, JA Lozano
Genetic Programming and Evolvable Machines 13 (2), 159-195, 2012
372012
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 EDA based on local Markov property and Gibbs sampling
S Shakya, R Santana
Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008
362008
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
Markov Networks in Evolutionary Computation
S Shakya
Springer, 2012
272012
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
252010
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
232009
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
212012
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
172007
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
162005
Estimating the distribution in an EDA
S Shakya, J McCall, DF Brown
Adaptive and Natural Computing Algorithms, 202-205, 2005
152005
Probabilistic model building Genetic Algorithm (PMBGA): A survey
SK Shakya
Technical Report, The Robert Gordon University, Aberdeen, Scotland, UK, 2003
142003
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Artículos 1–20