NeuroLGP-SM: A Surrogate-assisted Neuroevolution Approach using Linear Genetic Programming

no code implementations • 28 Mar 2024 • Fergal Stapleton, Brendan Cody-Kenny, Edgar Galván

The amalgamation of these two techniques culminates in our proposed methodology known as the NeuroLGP-Surrogate Model (NeuroLGP-SM).

Evolutionary Algorithms

Investigating the Evolvability of Web Page Load Time

no code implementations • 22 Feb 2018 • Brendan Cody-Kenny, Umberto Manganiello, John Farrelly, Adrian Ronayne, Eoghan Considine, Thomas McGuire, Michael O'Neill

We investigate whether a mutate-and-test approach can be used to optimise web page load time in these environments.

A Search for Improved Performance in Regular Expressions

no code implementations • 13 Apr 2017 • Brendan Cody-Kenny, Michael Fenton, Adrian Ronayne, Eoghan Considine, Thomas McGuire, Michael O'Neill

In this paper, Genetic Programming is used to find performance improvements in regular expressions for an array of target programs, representing the first application of automated software improvement for run-time performance in the Regular Expression language.

Performance Localisation

no code implementations • 4 Mar 2016 • Brendan Cody-Kenny, Michael O'Neill, Stephen Barrett

Typically a profiler can be used to find program code execution which represents a large portion of the overall execution cost of a program.