| Optimization by estimation of distribution with DEUM framework based on Markov random fields S Shakya, J McCall International Journal of Automation and Computing 4, 262-272, 2007 | 99 | 2007 |
| DEUM: a framework for an estimation of distribution algorithm based on Markov random fields. SK Shakya | 79 | 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 | 71 | 2016 |
| Mateda-2.0: A MATLAB package for the implementation and analysis of estimation of distribution algorithms R Santana, C Bielza, P Larranaga, JA Lozano, C Echegoyen, ... Journal of Statistical Software 35, 1-30, 2010 | 60 | 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 | 59 | 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 | 54 | 2005 |
| A markovianity based optimisation algorithm S Shakya, R Santana, JA Lozano Genetic Programming and Evolvable Machines 13, 159-195, 2012 | 46 | 2012 |
| 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 | 40 | 2008 |
| 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 | 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 |
| Evolutionary algorithms for cancer chemotherapy optimization J McCall, A Petrovski, S Shakya Computational Intelligence in Bioinformatics, 263-296, 2007 | 36 | 2007 |
| Markov networks in evolutionary computation S Shakya, R Santana Springer, 2012 | 33 | 2012 |
| A fully multivariate DEUM algorithm S Shakya, A Brownlee, J McCall, F Fournier, G Owusu 2009 IEEE Congress on Evolutionary Computation, 479-486, 2009 | 29 | 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 | 29 | 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 | 27 | 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 | 25 | 2009 |
| 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 | 21 | 2007 |
| An AI-based system for pricing diverse products and services S Shakya, CM Chin, G Owusu Research and Development in Intelligent Systems XXVI: Incorporating …, 2009 | 20 | 2009 |
| iPatch: A many-objective type-2 fuzzy logic system for field workforce optimization A Starkey, H Hagras, S Shakya, G Owusu IEEE Transactions on Fuzzy Systems 27 (3), 502-514, 2018 | 17 | 2018 |
| Analysing the effect of demand uncertainty in dynamic pricing with EAs S Shakya, F Oliveira, G Owusu International Conference on Innovative Techniques and Applications of …, 2008 | 17 | 2008 |
Gilbert OwusuBT PLC在 bt.com 的电子邮件经过验证
