Huw Lloyd

Orcid: 0000-0001-6537-4036

According to our database1, Huw Lloyd authored at least 17 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Generic Performance Model for Deep Learning in a Distributed Environment.
IEEE Access, 2024

Assessing Type Agreeability in the Unified Model of Personality and Play Styles.
Proceedings of the IEEE Conference on Games, 2024

2023
Layer-wise partitioning and merging for efficient and scalable deep learning.
Future Gener. Comput. Syst., December, 2023

Quantification of Explainability in Black Box Models using Complexity Measures.
Proceedings of the 15th International Conference on Innovations in Information Technology, 2023

2022
J-POP: Japanese Puzzles as Optimization Problems.
IEEE Trans. Games, 2022

PACO-VMP: Parallel Ant Colony Optimization for Virtual Machine Placement.
Future Gener. Comput. Syst., 2022

Layer-Wise Partitioning and Merging for Efficient and Scalable Deep Learning.
CoRR, 2022

2021
Blockchain-enabled supply chain: analysis, challenges, and future directions.
Multim. Syst., 2021

2020
Solving Sudoku With Ant Colony Optimization.
IEEE Trans. Games, 2020

2019
A Distributed Cellular Automaton Algorithm for Barrier Formation in Mobile Sensor Networks.
Proceedings of the 2019 Wireless Days, 2019

Decentralized Parallel Any Colony Optimization for Distributed Memory Systems.
Proceedings of the 2019 IEEE SmartWorld, 2019

Scaling techniques for parallel ant colony optimization on large problem instances.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Solving nurikabe with ant colony optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
Solving Sudoku with Ant Colony Optimisation.
CoRR, 2018

Vectorized candidate set selection for parallel ant colony optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017
Analysis of independent roulette selection in parallel ant colony optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
A highly parallelized and vectorized implementation of Max-Min Ant System on Intel® Xeon Phi™.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016


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