A highly parallelized and vectorized implementation of Max-Min Ant System on Intel® Xeon Phi™. - Huw Lloyd; Martyn Amos (SSCI, 2016)

Analysis of independent roulette selection in parallel ant colony optimization. - Huw Lloyd; Martyn Amos (GECCO, 2017)

Vectorized candidate set selection for parallel ant colony optimization. - Joshua Peake; Martyn Amos; Paraskevas Yiapanis; Huw Lloyd (GECCO (Companion), 2018)

Solving Sudoku with Ant Colony Optimisation. - Huw Lloyd; Martyn Amos (CoRR, 2018)

Solving nurikabe with ant colony optimization. - Martyn Amos; Matthew Crossley; Huw Lloyd (GECCO (Companion), 2019)

Scaling techniques for parallel ant colony optimization on large problem instances. - Joshua Peake; Martyn Amos; Paraskevas Yiapanis; Huw Lloyd (GECCO, 2019)

Decentralized Parallel Any Colony Optimization for Distributed Memory Systems. - Huw Lloyd (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

A Distributed Cellular Automaton Algorithm for Barrier Formation in Mobile Sensor Networks. - Huw Lloyd; Mohammad Hammoudeh (Wireless Days, 2019)

Solving Sudoku With Ant Colony Optimization. - Huw Lloyd; Martyn Amos (IEEE Trans. Games, 2020)

Blockchain-enabled supply chain: analysis, challenges, and future directions. - Sohail Jabbar; Huw Lloyd; Mohammad Hammoudeh; Bamidele Adebisi; Umar Raza (Multim. Syst., 2021)

Layer-Wise Partitioning and Merging for Efficient and Scalable Deep Learning. - Samson B. Akintoye; Liangxiu Han; Huw Lloyd; Xin Zhang 033; Darren Dancey; Haoming Chen; Daoqiang Zhang (CoRR, 2022)

PACO-VMP: Parallel Ant Colony Optimization for Virtual Machine Placement. - Joshua Peake; Martyn Amos; Nicholas Costen; Giovanni Luca Masala; Huw Lloyd (Future Gener. Comput. Syst., 2022)

J-POP: Japanese Puzzles as Optimization Problems. - Huw Lloyd; Matthew Crossley; Mark C. Sinclair; Martyn Amos (IEEE Trans. Games, 2022)

Quantification of Explainability in Black Box Models using Complexity Measures. - Ngozi Nneke; Huw Lloyd; Keeley Crockett (IIT, 2023)

Layer-wise partitioning and merging for efficient and scalable deep learning. - Samson B. Akintoye; Liangxiu Han; Huw Lloyd; X. Zhang; Darren Dancey; Haoming Chen; Daoqiang Zhang (Future Gener. Comput. Syst., 2023)

Assessing Type Agreeability in the Unified Model of Personality and Play Styles. - Alexander Brooke; Matthew Crossley; Huw Lloyd; Stuart Cunningham 001 (CoG, 2024)

A Generic Performance Model for Deep Learning in a Distributed Environment. - Tulasi Kavarakuntla; Liangxiu Han; Huw Lloyd; Annabel Latham; Anthony Kleerekoper; Samson B. Akintoye (IEEE Access, 2024)