2017
- A.Starkey, H.Hagras, S.Shakya, G.Owusu,Fuzzy Dominance Rules for Real-World Many Objective Optimization , FUZZIEEE 2017, Naples, Italy, July 2017
2016
- A.Starkey, H.Hagras, S.Shakya, G.Owusu, A Genetic Algorithm Based Approach for the Simultaneous Optimisation of Workforce Skill Sets and Team Allocation, AI-2016, Cambridge, UK, Dec 2016 [Award Winning Paper*]
- A.Starkey, H.Hagras, S.Shakya, G.Owusu, A Many-Objective Genetic Type-2 Fuzzy Logic System for the Optimal Allocation of Mobile Field Engineers, WCCI 2016, Vancouver, Canada, July 2016
- A.Starkey, H.Hagras, S.Shakya, G.Owusu, 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, WCCI 2016, Vancouver, Canada, July 2016
- A Starkey, H Hagras, S Shakya, G Owusu, A Mohamed, D Alghazzawi, A Cloud Computing Based Many Objective Type-2 Fuzzy Logic System for Mobile Field Workforce Area Optimization, Journal of Memetic Computing, 2016
2015
- A. Starkey et al., A Multi-Objective Genetic Type-2 Fuzzy Logic Based System for Mobile Field Workforce Area optimization, Information Sciences (2015)
- A.Starkey, H.Hagras, S.Shakya, G.Owusu, A Genetic Algorithm Based Approach for the Optimisation of Workforce Skill Sets. AI-2015, Cambridge, UK, Dec 2015.
- A.Starkey, H.Hagras, S.Shakya, G.Owusu, A Genetic Type-2 Fuzzy Logic Based Approach for the Optimal Allocation of Mobile Field Engineers to their Working Areas, FUZZIEEE 2015, Istanbul, Turkey, Aug 2015.
Notable
- 2017 IET South East UK PATW Runner-Up
- 2017 IET Anglian Costal PATW Winner
- 2016 BCS SGAI Best Application Paper Award*
- 2016 IET Innovation Awards Finalist in Model-Based Engineering
- 2015 GTB Innovation Award for Business Innovation
Other
- 2016 IET Anglian Costal PATW Runner-Up
- 2016 University of Essex 3MT Finalist
- 2015 IEEE Travel Grant for FUZZIEEE
