Andrew Starkey

According to our database, Andrew Starkey authored at least 21 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Unsupervised Neural Architecture for Sensorimotor Mapping in Perceptually Aliased Environments.

Luis Carvalho, Andrew Starkey

Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2024

2020

NNIR: N-Non-Intersecting-Routing Algorithm for Multi-Path Resilient Routing in Telecommunications Applications.

Lewis Veryard, Hani Hagras, Andrew Starkey, Anthony Conway, Gilbert Owusu

Int. J. Comput. Intell. Syst., 2020

Multiobjective evolutionary algorithms for strategic deployment of resources in operational units.

John H. Drake, Andrew Starkey, Gilbert Owusu, Edmund K. Burke

Eur. J. Oper. Res., 2020

2019

iPatch: A Many-Objective Type-2 Fuzzy Logic System for Field Workforce Optimization.

Andrew Starkey, Hani Hagras, Sid Shakya, Gilbert Owusu

IEEE Trans. Fuzzy Syst., 2019

A Fuzzy Genetic System for Resilient Routing in Uncertain & Dynamic Telecommunication Networks.

Lewis Veryard, Hani Hagras, Andrew Starkey, Gilbert Owusu

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018

Many-objective genetic type-2 fuzzy logic based workforce optimisation strategies for large scale organisational design.

Andrew Starkey

PhD thesis, 2018

A Genetic Algorithm Based System for Simultaneous Optimisation of Workforce Skills and Teams.

Andrew Starkey, Hani Hagras, Siddhartha Shakya, Gilbert Owusu

Künstliche Intell., 2018

Explainable AI and Fuzzy Logic Systems.

Ravikiran Chimatapu, Hani Hagras, Andrew Starkey, Gilbert Owusu

Proceedings of the Theory and Practice of Natural Computing - 7th International Conference, 2018

Enhancing Human Decision Making for Workforce Optimisation Using a Stacked Auto Encoder Based Hybrid Genetic Algorithm.

Ravikiran Chimatapu, Hani Hagras, Andrew Starkey, Gilbert Owusu

Proceedings of the Artificial Intelligence XXXV, 2018

Interval Type-2 Fuzzy Logic Based Stacked Autoencoder Deep Neural Network For Generating Explainable AI Models in Workforce Optimization.

Ravikiran Chimatapu, Hani Hagras, Andrew Starkey, Gilbert Owusu

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

A Big-Bang Big-Crunch Type-2 Fuzzy Logic System for Generating Interpretable Models in Workforce Optimization.

Ravikiran Chimatapu, Hani Hagras, Andrew Starkey, Gilbert Owusu

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

Stacked Auto Encoder Based Hybrid Genetic Algorithm for Workforce Optimization.

Ravikiran Chimatapu, Hani Hagras, Andrew Starkey, Gilbert Owusu

Proceedings of the 2018 10th Computer Science and Electronic Engineering Conference, 2018

2017

Fuzzy dominance rules for real-world many objective optimization.

Andrew Starkey, Hani Hagras, Sid Shakya, Gilbert Owusu

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016

A cloud computing based many objective type-2 fuzzy logic system for mobile field workforce area optimization.

Andrew Starkey, Hani Hagras, Siddhartha Shakya, Gilbert Owusu, Ahmed Mohamed, Daniyal M. Al-Ghazzawi

Memetic Comput., 2016

A multi-objective genetic type-2 fuzzy logic based system for mobile field workforce area optimization.

Andrew Starkey, Hani Hagras, Siddhartha Shakya, Gilbert Owusu

Inf. Sci., 2016

A Genetic Algorithm Based Approach for the Simultaneous Optimisation of Workforce Skill Sets and Team Allocation.

Andrew Starkey, Hani Hagras, Siddhartha Shakya, Gilbert Owusu

Proceedings of the Research and Development in Intelligent Systems XXXIII, 2016

A many-objective genetic type-2 fuzzy logic system for the optimal allocation of mobile field engineers.

Andrew Starkey, Hani Hagras, Siddhartha Shakya, Gilbert Owusu

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

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.

Andrew Starkey, Hani Hagras, Siddhartha Shakya, Gilbert Owusu

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

A Genetic Algorithm Based Approach for Workforce Upskilling.

Andrew Starkey, Hani Hagras, Siddhartha Shakya, Gilbert Owusu

Proceedings of the Research and Development in Intelligent Systems XXXII, 2015

A genetic type-2 fuzzy logic based approach for the optimal allocation of mobile field engineers to their working areas.

Andrew Starkey, Hani Hagras, Siddhartha Shakya, Gilbert Owusu

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2009

Monte Carlo simulation of the global nitrogen cycle.

Andrew Starkey, David Robinson

Proceedings of the 2009 International Conference on Scientific Computing, 2009