activity
20162021
most citedPonyGE2: Grammatical Evolution in Python

135 citations · 140 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NE2021

An exploration of asocial and social learning in the evolution of variable-length structures

Michael O'Neill, Anthony Brabazon

We wish to explore the contribution that asocial and social learning might play as a mechanism for self-adaptation in the search for variable-length structures by an evolutionary a…

cs.SE2018★ 1 cited

Investigating the Evolvability of Web Page Load Time

Brendan Cody-Kenny, Umberto Manganiello, John Farrelly +4

Client-side Javascript execution environments (browsers) allow anonymous functions and event-based programming concepts such as callbacks. We investigate whether a mutate-and-test…

cs.NE2017★ 135 cited

PonyGE2: Grammatical Evolution in Python

Michael Fenton, James McDermott, David Fagan +3

Grammatical Evolution (GE) is a population-based evolutionary algorithm, where a formal grammar is used in the genotype to phenotype mapping process. PonyGE2 is an open source impl…

cs.NE2017

A Search for Improved Performance in Regular Expressions

Brendan Cody-Kenny, Michael Fenton, Adrian Ronayne +3

The primary aim of automated performance improvement is to reduce the running time of programs while maintaining (or improving on) functionality. In this paper, Genetic Programming…

cs.DB2016★ 4 cited

An efficient Search Tool for an Anti-Money Laundering Application of an Multi-national Bank's Dataset

Nhien-An Le-Khac, Sammer Markos, Michael O'Neill +2

Today, money laundering (ML) poses a serious threat not only to financial institutions but also to the nations. This criminal activity is becoming more and more sophisticated and s…