Christopher W. Cleghorn

26 papers A 2B 2Journal 14Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Training feedforward neural networks with Bayesian hyper-heuristics.
Inf. Sci.
Arné Schreuder, Anna S. Bosman, Andries P. Engelbrecht, Christopher W. Cleghorn
2024 A conf
LLMatic: Neural Architecture Search Via Large Language Models And Quality Diversity Optimization.
GECCO
Muhammad Umair Nasir, Sam Earle, Julian Togelius, Steven James, Christopher W. Cleghorn
2023 — conf
Augmentative Topology Agents For Open-Ended Learning.
GECCO Companion
Muhammad Umair Nasir, Michael Beukman, Steven James, Christopher W. Cleghorn
2023 J jnl
LLMatic: Neural Architecture Search via Large Language Models and Quality-Diversity Optimization.
CoRR
Muhammad Umair Nasir, Sam Earle, Julian Togelius, Steven James, Christopher W. Cleghorn
2023 J jnl
Training Feedforward Neural Networks with Bayesian Hyper-Heuristics.
CoRR
Arné Schreuder, Anna S. Bosman, Andries P. Engelbrecht, Christopher W. Cleghorn
2022 — conf
A Continuous Optimisation Benchmark Suite from Neural Network Regression.
PPSN (1)
Katherine M. Malan, Christopher W. Cleghorn
2022 B conf
A Local Optima Network Analysis of the Feedforward Neural Architecture Space.
IJCNN
Isak Potgieter, Christopher W. Cleghorn, Anna S. Bosman
2022 J jnl
A Local Optima Network Analysis of the Feedforward Neural Architecture Space.
CoRR
Isak Potgieter, Christopher W. Cleghorn, Anna S. Bosman
2022 J jnl
Particle swarm optimization: Stability analysis using N-informers under arbitrary coefficient distributions.
Swarm Evol. Comput.
Christopher W. Cleghorn, Belinda Stapelberg
2022 J jnl
Procedural Content Generation using Neuroevolution and Novelty Search for Diverse Video Game Levels.
CoRR
Michael Beukman, Christopher W. Cleghorn, Steven James
2022 A conf
Procedural content generation using neuroevolution and novelty search for diverse video game levels.
GECCO
Michael Beukman, Christopher W. Cleghorn, Steven James
2022 J jnl
Towards Objective Metrics for Procedurally Generated Video Game Levels.
CoRR
Michael Beukman, Steven James, Christopher W. Cleghorn
2021 J jnl
A Scalable Continuous Unbounded Optimisation Benchmark Suite from Neural Network Regression.
CoRR
Katherine M. Malan, Christopher W. Cleghorn
2021 — conf
Improving transformer model translation for low resource South African languages using BERT.
SSCI
Paddington Chiguvare, Christopher W. Cleghorn
2021 J jnl
Performance analysis of dynamic optimization algorithms using relative error distance.
Swarm Evol. Comput.
Stéfan A. G. van der Stockt, Gary Pamparà, Andries P. Engelbrecht, Christopher W. Cleghorn
2021 — conf
Point Proposal Network: Accelerating Point Source Detection Through Deep Learning.
SSCI
Duncan Tilley, Christopher W. Cleghorn, Kshitij Thorat, Roger Deane
2021 — conf
Recent advances in particle swarm optimization analysis and understanding 2021.
GECCO Companion
Andries P. Engelbrecht, Christopher W. Cleghorn
2021 — conf
Understanding parameter spaces using local optima networks: a case study on particle swarm optimization.
GECCO Companion
Christopher W. Cleghorn, Gabriela Ochoa
2020 B conf
Heuristic Space Diversity Measures for Population-based Hyper-heuristics.
CEC
Stefan van der Stockt, Andries P. Engelbrecht, Christopher W. Cleghorn
2020 J jnl
Movement patterns of a particle swarm in high dimensional spaces.
Inf. Sci.
Elre T. Oldewage, Andries P. Engelbrecht, Christopher W. Cleghorn
2020 J jnl
Particle Swarm Optimization: Stability Analysis using N-Informers under Arbitrary Coefficient Distributions.
CoRR
Christopher W. Cleghorn, Belinda Stapelberg
2020 J jnl
Point Proposal Network: Accelerating Point Source Detection Through Deep Learning.
CoRR
Duncan Tilley, Christopher W. Cleghorn, Kshitij Thorat, Roger Deane
2020 — conf
Recent advances in particle swarm optimization analysis and understanding.
GECCO Companion
Andries P. Engelbrecht, Christopher W. Cleghorn
2020 — conf
Topology-Linked Self-Adaptive Quantum Particle Swarm optimization for Dynamic Environments.
SSCI
Rethabile Mabaso, Christopher W. Cleghorn
2019 J jnl
Degrees of stochasticity in particle swarm optimization.
Swarm Intell.
Elre T. Oldewage, Andries P. Engelbrecht, Christopher W. Cleghorn
2019 J jnl
Multi-guide particle swarm optimization for multi-objective optimization: empirical and stability analysis.
Swarm Intell.
Christiaan Scheepers, Andries P. Engelbrecht, Christopher W. Cleghorn