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ORCIDChristopher W. Cleghorn
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- affiliation: University of Pretoria, Department of Computer Science, South Africa
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Journal Articles
- 2025
[j10]Arné Schreuder, Anna S. Bosman
, Andries P. Engelbrecht, Christopher W. Cleghorn:
Training feedforward neural networks with Bayesian hyper-heuristics. Inf. Sci. 686: 121363 (2025)- 2022
- [j9]Christopher W. Cleghorn, Belinda Stapelberg:
Particle swarm optimization: Stability analysis using N-informers under arbitrary coefficient distributions. Swarm Evol. Comput. 71: 101060 (2022) - 2021
- [j8]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: 100930 (2021) - 2020
- [j7]Elre T. Oldewage, Andries P. Engelbrecht, Christopher W. Cleghorn:
Movement patterns of a particle swarm in high dimensional spaces. Inf. Sci. 512: 1043-1062 (2020) - 2019
- [j6]Elre T. Oldewage, Andries P. Engelbrecht, Christopher W. Cleghorn:
Degrees of stochasticity in particle swarm optimization. Swarm Intell. 13(3-4): 193-215 (2019) - [j5]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): 245-276 (2019) - 2018
- [j4]Christopher Wesley Cleghorn, Andries P. Engelbrecht:
Particle swarm stability: a theoretical extension using the non-stagnate distribution assumption. Swarm Intell. 12(1): 1-22 (2018) - 2015
- [j3]Christopher Wesley Cleghorn, Andries P. Engelbrecht:
Particle swarm variants: standardized convergence analysis. Swarm Intell. 9(2-3): 177-203 (2015) - [j2]Barend J. Leonard, Andries P. Engelbrecht, Christopher Wesley Cleghorn:
Critical considerations on angle modulated particle swarm optimisers. Swarm Intell. 9(4): 291-314 (2015) - 2014
- [j1]Christopher Wesley Cleghorn, Andries P. Engelbrecht:
A generalized theoretical deterministic particle swarm model. Swarm Intell. 8(1): 35-59 (2014)
Conference and Workshop Papers
- 2024
- [c27]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 - 2023
- [c26]Muhammad Umair Nasir, Michael Beukman, Steven James, Christopher W. Cleghorn:
Augmentative Topology Agents For Open-Ended Learning. GECCO Companion 2023: 671-674 - 2022
- [c25]Michael Beukman, Christopher W. Cleghorn, Steven James:
Procedural content generation using neuroevolution and novelty search for diverse video game levels. GECCO 2022: 1028-1037 - [c24]Isak Potgieter, Christopher W. Cleghorn, Anna S. Bosman:
A Local Optima Network Analysis of the Feedforward Neural Architecture Space. IJCNN 2022: 1-8 - [c23]Katherine M. Malan, Christopher W. Cleghorn:
A Continuous Optimisation Benchmark Suite from Neural Network Regression. PPSN (1) 2022: 177-191 - 2021
- [c22]Andries P. Engelbrecht, Christopher W. Cleghorn:
Recent advances in particle swarm optimization analysis and understanding 2021. GECCO Companion 2021: 341-368 - [c21]Christopher W. Cleghorn, Gabriela Ochoa:
Understanding parameter spaces using local optima networks: a case study on particle swarm optimization. GECCO Companion 2021: 1657-1664 - [c20]Paddington Chiguvare, Christopher W. Cleghorn:
Improving transformer model translation for low resource South African languages using BERT. SSCI 2021: 1-8 - [c19]Duncan Tilley, Christopher W. Cleghorn, Kshitij Thorat, Roger Deane:
Point Proposal Network: Accelerating Point Source Detection Through Deep Learning. SSCI 2021: 1-8 - 2020
- [c18]Stefan van der Stockt, Andries P. Engelbrecht, Christopher W. Cleghorn:
Heuristic Space Diversity Measures for Population-based Hyper-heuristics. CEC 2020: 1-9 - [c17]Andries P. Engelbrecht, Christopher W. Cleghorn:
Recent advances in particle swarm optimization analysis and understanding. GECCO Companion 2020: 747-774 - [c16]Rethabile Mabaso, Christopher W. Cleghorn:
Topology-Linked Self-Adaptive Quantum Particle Swarm optimization for Dynamic Environments. SSCI 2020: 1565-1572 - 2019
- [c15]Christopher Wesley Cleghorn:
Particle Swarm Optimization: Understanding Order-2 Stability Guarantees. EvoApplications 2019: 535-549 - [c14]Andries P. Engelbrecht, Christopher Wesley Cleghorn:
Recent advances in particle swarm optimization analysis and understanding. GECCO (Companion) 2019: 923-950 - 2018
- [c13]Christopher Wesley Cleghorn, Christiaan Scheepers, Andries P. Engelbrecht:
Stability Analysis of the Multi-objective Multi-guided Particle Swarm Optimizer. ANTS Conference 2018: 201-212 - [c12]Elre T. Oldewage, Andries P. Engelbrecht, Christopher Wesley Cleghorn:
The Importance of Component-Wise Stochasticity in Particle Swarm Optimization. ANTS Conference 2018: 264-276 - [c11]Elre T. Oldewage, Andries P. Engelbrecht, Christopher Wesley Cleghorn:
Boundary Constraint Handling Techniques for Particle Swarm Optimization in High Dimensional Problem Spaces. ANTS Conference 2018: 333-341 - [c10]Andries P. Engelbrecht, Christopher Wesley Cleghorn:
Particle swarm optimization: a guide to effective, misconception free, real world use. GECCO (Companion) 2018: 831-857 - 2017
- [c9]Christopher Wesley Cleghorn, Andries P. Engelbrecht:
Fitness-distance-ratio particle swarm optimization: stability analysis. GECCO 2017: 12-18 - [c8]Christopher Wesley Cleghorn, Andries P. Engelbrecht:
Firefly optimization: A study on frame invariance. SSCI 2017: 1-6 - [c7]Elre T. Oldewage, Andries P. Engelbrecht, Christopher Wesley Cleghorn:
The merits of velocity clamping particle swarm optimisation in high dimensional spaces. SSCI 2017: 1-8 - 2016
- [c6]Christopher Wesley Cleghorn, Andries P. Engelbrecht:
Unified particle swarm optimizer: Convergence analysis. CEC 2016: 447-454 - [c5]Christopher Wesley Cleghorn, Andries P. Engelbrecht:
Particle swarm optimizer: The impact of unstable particles on performance. SSCI 2016: 1-7 - 2015
- [c4]Christopher Wesley Cleghorn, Andries P. Engelbrecht:
Fully informed particle swarm optimizer: Convergence analysis. CEC 2015: 164-170 - 2014
- [c3]Christopher Wesley Cleghorn, Andries P. Engelbrecht:
Particle Swarm Convergence: Standardized Analysis and Topological Influence. ANTS Conference 2014: 134-145 - [c2]Christopher Wesley Cleghorn, Andries P. Engelbrecht:
Particle swarm convergence: An empirical investigation. IEEE Congress on Evolutionary Computation 2014: 2524-2530 - 2012
- [c1]Christopher Wesley Cleghorn, Andries P. Engelbrecht:
Piecewise Linear Approximation of n-Dimensional Parametric Curves Using Particle Swarms. ANTS 2012: 292-299
Informal and Other Publications
- 2023
- [i9]Arné Schreuder, Anna S. Bosman, Andries P. Engelbrecht, Christopher W. Cleghorn:
Training Feedforward Neural Networks with Bayesian Hyper-Heuristics. CoRR abs/2303.16912 (2023) - [i8]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 abs/2306.01102 (2023) - 2022
- [i7]Michael Beukman, Steven James, Christopher W. Cleghorn:
Towards Objective Metrics for Procedurally Generated Video Game Levels. CoRR abs/2201.10334 (2022) - [i6]Michael Beukman, Christopher W. Cleghorn, Steven James:
Procedural Content Generation using Neuroevolution and Novelty Search for Diverse Video Game Levels. CoRR abs/2204.06934 (2022) - [i5]Isak Potgieter, Christopher W. Cleghorn, Anna S. Bosman:
A Local Optima Network Analysis of the Feedforward Neural Architecture Space. CoRR abs/2206.06903 (2022) - [i4]Muhammad Umair Nasir, Michael Beukman, Steven James, Christopher Wesley Cleghorn:
Augmentative Topology Agents For Open-Ended Learning. CoRR abs/2210.11442 (2022) - 2021
- [i3]Katherine M. Malan, Christopher W. Cleghorn:
A Scalable Continuous Unbounded Optimisation Benchmark Suite from Neural Network Regression. CoRR abs/2109.05606 (2021) - 2020
- [i2]Christopher W. Cleghorn, Belinda Stapelberg:
Particle Swarm Optimization: Stability Analysis using N-Informers under Arbitrary Coefficient Distributions. CoRR abs/2004.00476 (2020) - [i1]Duncan Tilley, Christopher W. Cleghorn, Kshitij Thorat, Roger Deane:
Point Proposal Network: Accelerating Point Source Detection Through Deep Learning. CoRR abs/2008.02093 (2020)
Coauthor Index
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