| 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 | 93 | 2007 |
| DEUM: a framework for an estimation of distribution algorithm based on Markov random fields. SK Shakya | 73 | 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 | 62 | 2016 |
| 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 | 54 | 2010 |
| 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 | 53 | 2006 |
| 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 | 52 | 2005 |
| A markovianity based optimisation algorithm S Shakya, R Santana, JA Lozano Genetic Programming and Evolvable Machines 13 (2), 159-195, 2012 | 38 | 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 | 37 | 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 | 36 | 2008 |
| Evolutionary algorithms for cancer chemotherapy optimization J McCall, A Petrovski, S Shakya Computational Intelligence in Bioinformatics 7, 265, 2007 | 30 | 2007 |
| A fully multivariate DEUM algorithm S Shakya, A Brownlee, J McCall, F Fournier, G Owusu 2009 IEEE Congress on Evolutionary Computation, 479-486, 2009 | 28 | 2009 |
| 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 | 27 | 2004 |
| Markov Networks in Evolutionary Computation S Shakya Springer, 2012 | 25 | 2012 |
| 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 | 25 | 2010 |
| 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 | 24 | 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 | 23 | 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 | 20 | 2007 |
| 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 | 16 | 2005 |
| Estimating the distribution in an EDA S Shakya, J McCall, DF Brown Adaptive and Natural Computing Algorithms, 202-205, 2005 | 15 | 2005 |
| A review of estimation of distribution algorithms and Markov networks S Shakya, R Santana Markov Networks in Evolutionary Computation, 21-37, 2012 | 14 | 2012 |
