Siddhartha (Sid) Shakya

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Gilbert OwusuBT PLCVerified email at bt.com
John McCallDirector, National Subsea Centre, Robert Gordon UniversityVerified email at rgu.ac.uk
Hani HagrasProfessor, University of EssexVerified email at essex.ac.uk
Roberto SantanaIntelligent Systems Group ISG, University of the Basque Country UPV/EHUVerified email at ehu.es
Andrew StarkeyTemenosVerified email at temenos.com
Jose A. LozanoBasque Center for Applied Mathematics (BCAM), University of the Basque Country UPV/EHUVerified email at ehu.eus
Alexander E.I. BrownleeSenior Lecturer, University of Stirling, previously Loughborough, Robert GordonVerified email at cs.stir.ac.uk
Himadri Sikhar KharghariaResearcherVerified email at ku.ac.ae
Pedro LarrañagaProfessor of Artificial Intelligence - Universidad Politécnica de MadridVerified email at fi.upm.es
Alexander MendiburuIntelligent Systems Group ISG, University of the Basque Country UPV/EHUVerified email at ehu.eus
Concha BielzaProfessor of Statistics and Operations Research, Technical University of MadridVerified email at fi.upm.es
Ahmed MohamedLeasePlanVerified email at leaseplan.com
Dr. Andrei PetrovskiRobert Gordon University, AberdeenVerified email at comp.rgu.ac.uk
Rubén ArmañanzasDATAI / UNavVerified email at ieee.org
Andrei SleptchenkoKhalifa UniversityVerified email at ku.ac.ae
Fernando S. OliveiraRobert Gordon UniversityVerified email at rgu.ac.uk
Qingfu ZhangChair Professor, FIEEE, City University of Hong KongVerified email at cityu.edu.hk
François A. FournierTechnologist, Researcher and EntrepreneurVerified email at simitless.com
Adriana GaborKhalifa University, Abu DhabiVerified email at ku.ac.ae

Siddhartha (Sid) Shakya

Other namesS Shakya, Sid Shakya, Siddhartha Shakya

EBTIC, Khalifa University and BT

Verified email at bt.com - Homepage

Artificial Intelligence Evolutionary computation estimation of distribution algorithms DEUM


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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, 262-272, 2007	97	2007
DEUM: a framework for an estimation of distribution algorithm based on Markov random fields. SK Shakya	78	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	74	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	59	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	44	2012
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	40	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	39	2008
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	32	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 AI-based system for pricing diverse products and services S Shakya, CM Chin, G Owusu Research and Development in Intelligent Systems XXVI: Incorporating …, 2009	21	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
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
A review of estimation of distribution algorithms and Markov networks S Shakya, R Santana Markov Networks in Evolutionary Computation, 21-37, 2012	17	2012

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