Segui
Andrew Starkey
Titolo
Citata da
Citata da
Anno
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
742016
Explainable AI and fuzzy logic systems
R Chimatapu, H Hagras, A Starkey, G Owusu
Theory and Practice of Natural Computing: 7th International Conference, TPNC …, 2018
252018
A big-bang big-crunch type-2 fuzzy logic system for generating interpretable models in workforce optimization
R Chimatapu, H Hagras, A Starkey, G Owusu
2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2018
192018
iPatch: A Many-Objective Type-2 Fuzzy Logic System for Field Workforce Optimization
AJ Starkey, H Hagras, S Shakya, G Owusu
IEEE Transactions on Fuzzy Systems 27 (3), 502-514, 2019
172019
Interval type-2 fuzzy logic based stacked autoencoder deep neural network for generating explainable AI models in workforce optimization
R Chimatapu, H Hagras, A Starkey, G Owusu
2018 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-8, 2018
152018
Multiobjective evolutionary algorithms for strategic deployment of resources in operational units
JH Drake, A Starkey, G Owusu, EK Burke
European Journal of Operational Research 282 (2), 729-740, 2020
102020
A Comparison of Particle Swarm Optimization and Genetic Algorithms for a Multi-Objective Type-2 Fuzzy Logic Based System for the Optimal Allocation of Mobile Field Engineers
A Starkey, H Hagras, S Shakya, G Owusu
Evolutionary Computation (IEEE CEC), 2016 IEEE Congress on, 5068 - 5075, 2016
102016
A genetic algorithm based approach for the simultaneous optimisation of workforce skill sets and team allocation
AJ Starkey, H Hagras, S Shakya, G Owusu
Research and Development in Intelligent Systems XXXIII: Incorporating …, 2016
92016
A genetic type-2 fuzzy logic based approach for the optimal allocation of mobile field engineers to their working areas
A Starkey, H Hagras, S Shakya, G Owusu
2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2015
92015
A Many-Objective Genetic Type-2 Fuzzy Logic System for the Optimal Allocation of Mobile Field Engineers
A Starkey, H Hagras, S Shakya, G Owusu
Fuzzy Systems (FUZZ-IEEE), 2016 IEEE International Conference on, 2051 - 2058, 2016
82016
A Fuzzy Genetic System for Resilient Routing in Uncertain & Dynamic Telecommunication Networks
L Veryard, H Hagras, A Starkey, G Owusu
2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2019
72019
A Genetic Algorithm Based System for Simultaneous Optimisation of Workforce Skills and Teams
AJ Starkey, H Hagras, S Shakya, G Owusu
Künstliche Intelligenz, 1-16, 2018
72018
A cloud computing based many objective type-2 fuzzy logic system for mobile field workforce area optimization
A Starkey, H Hagras, S Shakya, G Owusu, A Mohamed, D Alghazzawi
Memetic Computing 8, 269-286, 2016
52016
Fuzzy Dominance Rules for Real-World Many Objective Optimization
A Starkey, H Hagras, S Shakya, G Owusu
Fuzzy Systems (FUZZ-IEEE), 2017 IEEE International Conference on, 1-8, 2017
42017
NNIR: N-non-intersecting-routing algorithm for multi-path resilient routing in telecommunications applications
L Veryard, H Hagras, A Starkey, A Conway, G Owusu
International Journal of Computational Intelligence Systems 13 (1), 352-365, 2020
32020
Stacked Auto Encoder Based Hybrid Genetic Algorithm for Workforce Optimization
R Chimatapu, H Hagras, A Starkey, G Owusu
2018 10th Computer Science and Electronic Engineering (CEEC), 236-241, 2018
22018
Machine learning
G Owusu, H Hagras, R CHIMATAPU, A Starkey
US Patent App. 17/593,625, 2022
12022
Many-objective genetic type-2 fuzzy logic based workforce optimisation strategies for large scale organisational design
AJ Starkey
University of Essex, 2018
12018
Efficient routing
T Glover, A Mccormick, A Starkey, A Conway
US Patent App. 17/593,624, 2022
2022
Resilient network routing
A Starkey, L Veryard, H Hagras, G Owusu
US Patent App. 17/310,017, 2022
2022
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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