16 citations · 16 across the 1 of their papers we have counts for
4 papers
LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimization
Muhammad U. Nasir, Sam Earle, Christopher Cleghorn +2
Large Language Models (LLMs) have emerged as powerful tools capable of accomplishing a broad spectrum of tasks. Their abilities span numerous areas, and one area where they have ma…
Training Feedforward Neural Networks with Bayesian Hyper-Heuristics
Arné Schreuder, Anna Bosman, Andries Engelbrecht +1
The process of training feedforward neural networks (FFNNs) can benefit from an automated process where the best heuristic to train the network is sought out automatically by means…
Procedural Content Generation using Neuroevolution and Novelty Search for Diverse Video Game Levels
Michael Beukman, Christopher W Cleghorn, Steven James
Procedurally generated video game content has the potential to drastically reduce the content creation budget of game developers and large studios. However, adoption is hindered by…
Particle Swarm Optimization: Stability Analysis using N-Informers under Arbitrary Coefficient Distributions
Christopher W Cleghorn, Belinda Stapelberg
This paper derives, under minimal modelling assumptions, a simple to use theorem for obtaining both order- and order- stability criteria for a common class of particle swarm…