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Andrew Starkey
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2020 – today
- 2024
- [c14]Luis Carvalho, Andrew Starkey:
Unsupervised Neural Architecture for Sensorimotor Mapping in Perceptually Aliased Environments. COINS 2024: 1-6 - 2020
- [j6]John H. Drake, Andrew Starkey, Gilbert Owusu, Edmund K. Burke:
Multiobjective evolutionary algorithms for strategic deployment of resources in operational units. Eur. J. Oper. Res. 282(2): 729-740 (2020) - [j5]Lewis Veryard, Hani Hagras
, Andrew Starkey, Anthony Conway, Gilbert Owusu:
NNIR: N-Non-Intersecting-Routing Algorithm for Multi-Path Resilient Routing in Telecommunications Applications. Int. J. Comput. Intell. Syst. 13(1): 352-365 (2020)
2010 – 2019
- 2019
- [j4]Andrew Starkey
iPatch: A Many-Objective Type-2 Fuzzy Logic System for Field Workforce Optimization. IEEE Trans. Fuzzy Syst. 27(3): 502-514 (2019) - [c13]Lewis Veryard, Hani Hagras
A Fuzzy Genetic System for Resilient Routing in Uncertain & Dynamic Telecommunication Networks. FUZZ-IEEE 2019: 1-6 - 2018
- [b1]Andrew Starkey:
Many-objective genetic type-2 fuzzy logic based workforce optimisation strategies for large scale organisational design. University of Essex, Colchester, UK, 2018 - [j3]Andrew Starkey, Hani Hagras
A Genetic Algorithm Based System for Simultaneous Optimisation of Workforce Skills and Teams. Künstliche Intell. 32(4): 245-260 (2018) - [c12]Ravikiran Chimatapu, Hani Hagras
Stacked Auto Encoder Based Hybrid Genetic Algorithm for Workforce Optimization. CEEC 2018: 236-241 - [c11]Ravikiran Chimatapu, Hani Hagras
A Big-Bang Big-Crunch Type-2 Fuzzy Logic System for Generating Interpretable Models in Workforce Optimization. FUZZ-IEEE 2018: 1-8 - [c10]Ravikiran Chimatapu, Hani Hagras
Interval Type-2 Fuzzy Logic Based Stacked Autoencoder Deep Neural Network For Generating Explainable AI Models in Workforce Optimization. FUZZ-IEEE 2018: 1-8 - [c9]Ravikiran Chimatapu, Hani Hagras
Enhancing Human Decision Making for Workforce Optimisation Using a Stacked Auto Encoder Based Hybrid Genetic Algorithm. SGAI Conf. 2018: 63-75 - [c8]Ravikiran Chimatapu, Hani Hagras
Explainable AI and Fuzzy Logic Systems. TPNC 2018: 3-20 - 2017
- [c7]Andrew Starkey, Hani Hagras
Fuzzy dominance rules for real-world many objective optimization. FUZZ-IEEE 2017: 1-6 - 2016
- [j2]Andrew Starkey, Hani Hagras
A multi-objective genetic type-2 fuzzy logic based system for mobile field workforce area optimization. Inf. Sci. 329: 390-411 (2016) - [j1]Andrew Starkey, Hani Hagras
A cloud computing based many objective type-2 fuzzy logic system for mobile field workforce area optimization. Memetic Comput. 8(4): 269-286 (2016) - [c6]Andrew Starkey, Hani Hagras
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. CEC 2016: 5068-5075 - [c5]Andrew Starkey, Hani Hagras
A many-objective genetic type-2 fuzzy logic system for the optimal allocation of mobile field engineers. FUZZ-IEEE 2016: 2051-2058 - [c4]Andrew Starkey, Hani Hagras, Siddhartha Shakya, Gilbert Owusu:
A Genetic Algorithm Based Approach for the Simultaneous Optimisation of Workforce Skill Sets and Team Allocation. SGAI Conf. 2016: 253-266 - 2015
- [c3]Andrew Starkey, Hani Hagras
A genetic type-2 fuzzy logic based approach for the optimal allocation of mobile field engineers to their working areas. FUZZ-IEEE 2015: 1-8 - [c2]Andrew Starkey, Hani Hagras, Siddhartha Shakya, Gilbert Owusu:
A Genetic Algorithm Based Approach for Workforce Upskilling. SGAI Conf. 2015: 261-272
2000 – 2009
- 2009
- [c1]Andrew Starkey, David Robinson:
Monte Carlo simulation of the global nitrogen cycle. CSC 2009: 139-144
Coauthor Index
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