Christopher W. Cleghorn

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 25

Top Topics

Benchmark Suite

Neural Architecture

Top Venues

GECCO Companion

Swarm Evol. Comput.

Publications

Muhammad Umair Nasir, Sam Earle, Julian Togelius, Steven James, Christopher W. Cleghorn
LLMatic: Neural Architecture Search Via Large Language Models And Quality Diversity Optimization. GECCO (2024)
Muhammad Umair Nasir, Sam Earle, Julian Togelius, Steven James, Christopher W. Cleghorn
LLMatic: Neural Architecture Search via Large Language Models and Quality-Diversity Optimization. CoRR (2023)
Arné Schreuder, Anna Bosman, Andries P. Engelbrecht, Christopher W. Cleghorn
Training Feedforward Neural Networks with Bayesian Hyper-Heuristics. CoRR (2023)
Muhammad Umair Nasir, Michael Beukman, Steven James, Christopher W. Cleghorn
Augmentative Topology Agents For Open-Ended Learning. GECCO Companion (2023)
Katherine M. Malan, Christopher W. Cleghorn
A Continuous Optimisation Benchmark Suite from Neural Network Regression. PPSN (1) (2022)
Isak Potgieter, Christopher W. Cleghorn, Anna S. Bosman
A Local Optima Network Analysis of the Feedforward Neural Architecture Space. CoRR (2022)
Michael Beukman, Steven James, Christopher W. Cleghorn
Towards Objective Metrics for Procedurally Generated Video Game Levels. CoRR (2022)
Michael Beukman, Christopher W. Cleghorn, Steven James
Procedural content generation using neuroevolution and novelty search for diverse video game levels. GECCO (2022)
Michael Beukman, Christopher W. Cleghorn, Steven James
Procedural Content Generation using Neuroevolution and Novelty Search for Diverse Video Game Levels. CoRR (2022)
Isak Potgieter, Christopher W. Cleghorn, Anna S. Bosman
A Local Optima Network Analysis of the Feedforward Neural Architecture Space. IJCNN (2022)
Christopher W. Cleghorn, Belinda Stapelberg
Particle swarm optimization: Stability analysis using N-informers under arbitrary coefficient distributions. Swarm Evol. Comput. 71 (2022)
Stéfan A. G. van der Stockt, Gary Pamparà, Andries P. Engelbrecht, Christopher W. Cleghorn
Performance analysis of dynamic optimization algorithms using relative error distance. Swarm Evol. Comput. 66 (2021)
Christopher W. Cleghorn, Gabriela Ochoa
Understanding parameter spaces using local optima networks: a case study on particle swarm optimization. GECCO Companion (2021)
Paddington Chiguvare, Christopher W. Cleghorn
Improving transformer model translation for low resource South African languages using BERT. SSCI (2021)
Katherine M. Malan, Christopher W. Cleghorn
A Scalable Continuous Unbounded Optimisation Benchmark Suite from Neural Network Regression. CoRR (2021)
Duncan Tilley, Christopher W. Cleghorn, Kshitij Thorat, Roger Deane
Point Proposal Network: Accelerating Point Source Detection Through Deep Learning. SSCI (2021)
Andries P. Engelbrecht, Christopher W. Cleghorn
Recent advances in particle swarm optimization analysis and understanding 2021. GECCO Companion (2021)
Stefan van der Stockt, Andries P. Engelbrecht, Christopher W. Cleghorn
Heuristic Space Diversity Measures for Population-based Hyper-heuristics. CEC (2020)
Christopher W. Cleghorn, Belinda Stapelberg
Particle Swarm Optimization: Stability Analysis using N-Informers under Arbitrary Coefficient Distributions. CoRR (2020)
Andries P. Engelbrecht, Christopher W. Cleghorn
Recent advances in particle swarm optimization analysis and understanding. GECCO Companion (2020)
Duncan Tilley, Christopher W. Cleghorn, Kshitij Thorat, Roger Deane
Point Proposal Network: Accelerating Point Source Detection Through Deep Learning. CoRR (2020)
Elre T. Oldewage, Andries P. Engelbrecht, Christopher W. Cleghorn
Movement patterns of a particle swarm in high dimensional spaces. Inf. Sci. 512 (2020)
Rethabile Mabaso, Christopher W. Cleghorn
Topology-Linked Self-Adaptive Quantum Particle Swarm optimization for Dynamic Environments. SSCI (2020)
Elre T. Oldewage, Andries P. Engelbrecht, Christopher W. Cleghorn
Degrees of stochasticity in particle swarm optimization. Swarm Intell. 13 (3-4) (2019)
Christiaan Scheepers, Andries P. Engelbrecht, Christopher W. Cleghorn
Multi-guide particle swarm optimization for multi-objective optimization: empirical and stability analysis. Swarm Intell. 13 (3-4) (2019)