Piecewise Linear Approximation of n-Dimensional Parametric Curves Using Particle Swarms. - Christopher Wesley Cleghorn; Andries P. Engelbrecht (ANTS, 2012)

Particle Swarm Convergence: Standardized Analysis and Topological Influence. - Christopher Wesley Cleghorn; Andries P. Engelbrecht (ANTS Conference, 2014)

Particle swarm convergence: An empirical investigation. - Christopher Wesley Cleghorn; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2014)

A generalized theoretical deterministic particle swarm model. - Christopher Wesley Cleghorn; Andries P. Engelbrecht (Swarm Intell., 2014)

Fully informed particle swarm optimizer: Convergence analysis. - Christopher Wesley Cleghorn; Andries P. Engelbrecht (CEC, 2015)

Particle swarm variants: standardized convergence analysis. - Christopher Wesley Cleghorn; Andries P. Engelbrecht (Swarm Intell., 2015)

Critical considerations on angle modulated particle swarm optimisers. - Barend J. Leonard; Andries P. Engelbrecht; Christopher Wesley Cleghorn (Swarm Intell., 2015)

Unified particle swarm optimizer: Convergence analysis. - Christopher Wesley Cleghorn; Andries P. Engelbrecht (CEC, 2016)

Particle swarm optimizer: The impact of unstable particles on performance. - Christopher Wesley Cleghorn; Andries P. Engelbrecht (SSCI, 2016)

Fitness-distance-ratio particle swarm optimization: stability analysis. - Christopher Wesley Cleghorn; Andries P. Engelbrecht (GECCO, 2017)

Firefly optimization: A study on frame invariance. - Christopher Wesley Cleghorn; Andries P. Engelbrecht (SSCI, 2017)

The merits of velocity clamping particle swarm optimisation in high dimensional spaces. - Elre T. Oldewage; Andries P. Engelbrecht; Christopher Wesley Cleghorn (SSCI, 2017)

Stability Analysis of the Multi-objective Multi-guided Particle Swarm Optimizer. - Christopher Wesley Cleghorn; Christiaan Scheepers; Andries P. Engelbrecht (ANTS Conference, 2018)

The Importance of Component-Wise Stochasticity in Particle Swarm Optimization. - Elre T. Oldewage; Andries P. Engelbrecht; Christopher Wesley Cleghorn (ANTS Conference, 2018)

Boundary Constraint Handling Techniques for Particle Swarm Optimization in High Dimensional Problem Spaces. - Elre T. Oldewage; Andries P. Engelbrecht; Christopher Wesley Cleghorn (ANTS Conference, 2018)

Particle swarm optimization: a guide to effective, misconception free, real world use. - Andries P. Engelbrecht; Christopher Wesley Cleghorn (GECCO (Companion), 2018)

Particle swarm stability: a theoretical extension using the non-stagnate distribution assumption. - Christopher Wesley Cleghorn; Andries P. Engelbrecht (Swarm Intell., 2018)

Particle Swarm Optimization: Understanding Order-2 Stability Guarantees. - Christopher Wesley Cleghorn (EvoApplications, 2019)

Degrees of stochasticity in particle swarm optimization. - Elre T. Oldewage; Andries P. Engelbrecht; Christopher W. Cleghorn (Swarm Intell., 2019)

Multi-guide particle swarm optimization for multi-objective optimization: empirical and stability analysis. - Christiaan Scheepers; Andries P. Engelbrecht; Christopher W. Cleghorn (Swarm Intell., 2019)

Heuristic Space Diversity Measures for Population-based Hyper-heuristics. - Stefan van der Stockt; Andries P. Engelbrecht; Christopher W. Cleghorn (CEC, 2020)

Recent advances in particle swarm optimization analysis and understanding. - Andries P. Engelbrecht; Christopher W. Cleghorn (GECCO Companion, 2020)

Topology-Linked Self-Adaptive Quantum Particle Swarm optimization for Dynamic Environments. - Rethabile Mabaso; Christopher W. Cleghorn (SSCI, 2020)

Movement patterns of a particle swarm in high dimensional spaces. - Elre T. Oldewage; Andries P. Engelbrecht; Christopher W. Cleghorn (Inf. Sci., 2020)

Understanding parameter spaces using local optima networks: a case study on particle swarm optimization. - Christopher W. Cleghorn; Gabriela Ochoa (GECCO Companion, 2021)

Recent advances in particle swarm optimization analysis and understanding 2021. - Andries P. Engelbrecht; Christopher W. Cleghorn (GECCO Companion, 2021)

Improving transformer model translation for low resource South African languages using BERT. - Paddington Chiguvare; Christopher W. Cleghorn (SSCI, 2021)

Point Proposal Network: Accelerating Point Source Detection Through Deep Learning. - Duncan Tilley; Christopher W. Cleghorn; Kshitij Thorat; Roger Deane (SSCI, 2021)

A Scalable Continuous Unbounded Optimisation Benchmark Suite from Neural Network Regression. - Katherine M. Malan; Christopher W. Cleghorn (CoRR, 2021)

Performance analysis of dynamic optimization algorithms using relative error distance. - Stéfan A. G. van der Stockt; Gary Pamparà; Andries P. Engelbrecht; Christopher W. Cleghorn (Swarm Evol. Comput., 2021)

Procedural content generation using neuroevolution and novelty search for diverse video game levels. - Michael Beukman; Christopher W. Cleghorn; Steven James 001 (GECCO, 2022)

A Local Optima Network Analysis of the Feedforward Neural Architecture Space. - Isak Potgieter; Christopher W. Cleghorn; Anna S. Bosman (IJCNN, 2022)

A Continuous Optimisation Benchmark Suite from Neural Network Regression. - Katherine M. Malan; Christopher W. Cleghorn (PPSN (1), 2022)

Towards Objective Metrics for Procedurally Generated Video Game Levels. - Michael Beukman; Steven James 001; Christopher W. Cleghorn (CoRR, 2022)

Particle swarm optimization: Stability analysis using N-informers under arbitrary coefficient distributions. - Christopher W. Cleghorn; Belinda Stapelberg (Swarm Evol. Comput., 2022)

Augmentative Topology Agents For Open-Ended Learning. - Muhammad Umair Nasir; Michael Beukman; Steven James 001; Christopher W. Cleghorn (GECCO Companion, 2023)

LLMatic: Neural Architecture Search Via Large Language Models And Quality Diversity Optimization. - Muhammad Umair Nasir; Sam Earle; Julian Togelius; Steven James 001; Christopher W. Cleghorn (GECCO, 2024)

Training feedforward neural networks with Bayesian hyper-heuristics. - Arné Schreuder; Anna S. Bosman; Andries P. Engelbrecht; Christopher W. Cleghorn (Inf. Sci., 2025)