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2020 – today
- 2024
[j6]Tulasi Kavarakuntla, Liangxiu Han
, Huw Lloyd, Annabel Latham, Anthony Kleerekoper, Samson B. Akintoye:
A Generic Performance Model for Deep Learning in a Distributed Environment. IEEE Access 12: 8207-8219 (2024)- [c9]Alexander Brooke, Matthew Crossley, Huw Lloyd, Stuart Cunningham:
Assessing Type Agreeability in the Unified Model of Personality and Play Styles. CoG 2024: 1-8 - 2023
- [j5]Samson B. Akintoye, Liangxiu Han, Huw Lloyd, X. Zhang, Darren Dancey, Haoming Chen, Daoqiang Zhang:
Layer-wise partitioning and merging for efficient and scalable deep learning. Future Gener. Comput. Syst. 149: 432-444 (2023) - [c8]Ngozi Nneke, Huw Lloyd, Keeley Crockett:
Quantification of Explainability in Black Box Models using Complexity Measures. IIT 2023: 85-92 - [i3]Tulasi Kavarakuntla, Liangxiu Han, Huw Lloyd, Annabel Latham, Anthony Kleerekoper, Samson B. Akintoye:
A Generic Performance Model for Deep Learning in a Distributed Environment. CoRR abs/2305.11665 (2023) - 2022
- [j4]Joshua Peake, Martyn Amos, Nicholas Costen, Giovanni Luca Masala, Huw Lloyd:
PACO-VMP: Parallel Ant Colony Optimization for Virtual Machine Placement. Future Gener. Comput. Syst. 129: 174-186 (2022) - [j3]Huw Lloyd, Matthew Crossley, Mark C. Sinclair, Martyn Amos:
J-POP: Japanese Puzzles as Optimization Problems. IEEE Trans. Games 14(3): 391-402 (2022) - [i2]Samson B. Akintoye, Liangxiu Han, Huw Lloyd, Xin Zhang, Darren Dancey, Haoming Chen, Daoqiang Zhang:
Layer-Wise Partitioning and Merging for Efficient and Scalable Deep Learning. CoRR abs/2207.11019 (2022) - 2021
- [j2]Sohail Jabbar, Huw Lloyd, Mohammad Hammoudeh, Bamidele Adebisi, Umar Raza:
Blockchain-enabled supply chain: analysis, challenges, and future directions. Multim. Syst. 27(4): 787-806 (2021) - 2020
- [j1]Huw Lloyd, Martyn Amos:
Solving Sudoku With Ant Colony Optimization. IEEE Trans. Games 12(3): 302-311 (2020)
2010 – 2019
- 2019
- [c7]Joshua Peake, Martyn Amos, Paraskevas Yiapanis, Huw Lloyd:
Scaling techniques for parallel ant colony optimization on large problem instances. GECCO 2019: 47-54 - [c6]Martyn Amos, Matthew Crossley, Huw Lloyd:
Solving nurikabe with ant colony optimization. GECCO (Companion) 2019: 129-130 - [c5]Huw Lloyd:
Decentralized Parallel Any Colony Optimization for Distributed Memory Systems. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 1561-1567 - [c4]Huw Lloyd, Mohammad Hammoudeh:
A Distributed Cellular Automaton Algorithm for Barrier Formation in Mobile Sensor Networks. Wireless Days 2019: 1-4 - 2018
- [c3]Joshua Peake, Martyn Amos, Paraskevas Yiapanis, Huw Lloyd:
Vectorized candidate set selection for parallel ant colony optimization. GECCO (Companion) 2018: 1300-1306 - [i1]Huw Lloyd, Martyn Amos:
Solving Sudoku with Ant Colony Optimisation. CoRR abs/1805.03545 (2018) - 2017
- [c2]Huw Lloyd, Martyn Amos:
Analysis of independent roulette selection in parallel ant colony optimization. GECCO 2017: 19-26 - 2016
- [c1]Huw Lloyd, Martyn Amos:
A highly parallelized and vectorized implementation of Max-Min Ant System on Intel® Xeon Phi™. SSCI 2016: 1-6
Coauthor Index
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