Christopher W. Cleghorn

According to our database, Christopher W. Cleghorn authored at least 38 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

LLMatic: Neural Architecture Search via Large Language Models and Quality-Diversity Optimization.

Muhammad Umair Nasir, Sam Earle, Julian Togelius, Steven James, Christopher W. Cleghorn

CoRR, 2023

Training Feedforward Neural Networks with Bayesian Hyper-Heuristics.

Arné Schreuder, Anna S. Bosman, Andries P. Engelbrecht, Christopher W. Cleghorn

CoRR, 2023

Augmentative Topology Agents For Open-Ended Learning.

Muhammad Umair Nasir, Michael Beukman, Steven James, Christopher W. Cleghorn

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Particle swarm optimization: Stability analysis using N-informers under arbitrary coefficient distributions.

Christopher W. Cleghorn, Belinda Stapelberg

Swarm Evol. Comput., 2022

Towards Objective Metrics for Procedurally Generated Video Game Levels.

Michael Beukman, Steven James, Christopher W. Cleghorn

CoRR, 2022

A Continuous Optimisation Benchmark Suite from Neural Network Regression.

Katherine M. Malan, Christopher W. Cleghorn

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

A Local Optima Network Analysis of the Feedforward Neural Architecture Space.

Isak Potgieter, Christopher W. Cleghorn, Anna S. Bosman

Proceedings of the International Joint Conference on Neural Networks, 2022

Procedural content generation using neuroevolution and novelty search for diverse video game levels.

Michael Beukman, Christopher W. Cleghorn, Steven James

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

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

A Scalable Continuous Unbounded Optimisation Benchmark Suite from Neural Network Regression.

Katherine M. Malan, Christopher W. Cleghorn

CoRR, 2021

Point Proposal Network: Accelerating Point Source Detection Through Deep Learning.

Duncan Tilley, Christopher W. Cleghorn, Kshitij Thorat, Roger Deane

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Improving transformer model translation for low resource South African languages using BERT.

Paddington Chiguvare, Christopher W. Cleghorn

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Recent advances in particle swarm optimization analysis and understanding 2021.

Andries P. Engelbrecht, Christopher W. Cleghorn

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Understanding parameter spaces using local optima networks: a case study on particle swarm optimization.

Christopher W. Cleghorn, Gabriela Ochoa

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Movement patterns of a particle swarm in high dimensional spaces.

Elre T. Oldewage, Andries P. Engelbrecht, Christopher W. Cleghorn

Inf. Sci., 2020

Topology-Linked Self-Adaptive Quantum Particle Swarm optimization for Dynamic Environments.

Rethabile Mabaso, Christopher W. Cleghorn

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Heuristic Space Diversity Measures for Population-based Hyper-heuristics.

Stefan van der Stockt, Andries P. Engelbrecht, Christopher W. Cleghorn

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

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

Degrees of stochasticity in particle swarm optimization.

Elre T. Oldewage, Andries P. Engelbrecht, Christopher W. Cleghorn

Swarm Intell., 2019

Recent advances in particle swarm optimization analysis and understanding.

Andries P. Engelbrecht, Christopher Wesley Cleghorn

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Particle Swarm Optimization: Understanding Order-2 Stability Guarantees.

Christopher Wesley Cleghorn

Proceedings of the Applications of Evolutionary Computation, 2019

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: a guide to effective, misconception free, real world use.

Andries P. Engelbrecht, Christopher Wesley Cleghorn

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Boundary Constraint Handling Techniques for Particle Swarm Optimization in High Dimensional Problem Spaces.

Elre T. Oldewage, Andries P. Engelbrecht, Christopher Wesley Cleghorn

Proceedings of the Swarm Intelligence - 11th International Conference, 2018

The Importance of Component-Wise Stochasticity in Particle Swarm Optimization.

Elre T. Oldewage, Andries P. Engelbrecht, Christopher Wesley Cleghorn

Proceedings of the Swarm Intelligence - 11th International Conference, 2018

Stability Analysis of the Multi-objective Multi-guided Particle Swarm Optimizer.

Christopher Wesley Cleghorn, Christiaan Scheepers, Andries P. Engelbrecht

Proceedings of the Swarm Intelligence - 11th International Conference, 2018

2017

The merits of velocity clamping particle swarm optimisation in high dimensional spaces.

Elre T. Oldewage, Andries P. Engelbrecht, Christopher Wesley Cleghorn

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Firefly optimization: A study on frame invariance.

Christopher Wesley Cleghorn, Andries P. Engelbrecht

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Fitness-distance-ratio particle swarm optimization: stability analysis.

Christopher Wesley Cleghorn, Andries P. Engelbrecht

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Particle swarm optimizer: The impact of unstable particles on performance.

Christopher Wesley Cleghorn, Andries P. Engelbrecht

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Unified particle swarm optimizer: Convergence analysis.

Christopher Wesley Cleghorn, Andries P. Engelbrecht

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Critical considerations on angle modulated particle swarm optimisers.

Barend J. Leonard, Andries P. Engelbrecht, Christopher Wesley Cleghorn

Swarm Intell., 2015

Particle swarm variants: standardized convergence analysis.

Christopher Wesley Cleghorn, Andries P. Engelbrecht

Swarm Intell., 2015

Fully informed particle swarm optimizer: Convergence analysis.

Christopher Wesley Cleghorn, Andries P. Engelbrecht

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

A generalized theoretical deterministic particle swarm model.

Christopher Wesley Cleghorn, Andries P. Engelbrecht

Swarm Intell., 2014

Particle swarm convergence: An empirical investigation.

Christopher Wesley Cleghorn, Andries P. Engelbrecht

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Particle Swarm Convergence: Standardized Analysis and Topological Influence.

Christopher Wesley Cleghorn, Andries P. Engelbrecht

Proceedings of the Swarm Intelligence - 9th International Conference, 2014

2012

Piecewise Linear Approximation of n-Dimensional Parametric Curves Using Particle Swarms.

Christopher Wesley Cleghorn, Andries P. Engelbrecht

Proceedings of the Swarm Intelligence - 8th International Conference, 2012