loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Allan de Lima 1 ; Samuel Carvalho 2 ; Douglas Dias 1 ; Joseph Sullivan 2 and Conor Ryan 1

Affiliations: 1 University of Limerick, Limerick, Ireland ; 2 Technological University of the Shannon: Midlands Midwest, Limerick, Ireland

Keyword(s): Lexicase, Tournament, Bloat.

Abstract: We proposed a novel and simple selection system that alternates between tournament and Lexicase selection to tackle the bloat issue. In this way, we used Lexi2 , an implementation of Lexicase with lexicographic parsimony pressure, adopting the number of nodes in our solutions as size measurement. In addition, we increased the parsimony pressure by adding a penalty, also based on the number of nodes, to the aggregated fitness score. We analysed different scenarios, including some without extra parameters, in five benchmark problems: 2-bit Multiplier, 5-bit Parity, Car Evaluation, LED and Heart Disease. We succeeded in all of them in at least one scenario, reducing the size significantly while maintaining fitness. Beyond error and size, we also included results for the average number of fitness cases used in each generation.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 13.58.207.196

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
de Lima, A.; Carvalho, S.; Dias, D.; Sullivan, J. and Ryan, C. (2023). On Switching Selection Methods to Increase Parsimony Pressure. In Proceedings of the 15th International Joint Conference on Computational Intelligence - ECTA; ISBN 978-989-758-674-3; ISSN 2184-3236, SciTePress, pages 96-107. DOI: 10.5220/0012188900003595

@conference{ecta23,
author={Allan {de Lima}. and Samuel Carvalho. and Douglas Dias. and Joseph Sullivan. and Conor Ryan.},
title={On Switching Selection Methods to Increase Parsimony Pressure},
booktitle={Proceedings of the 15th International Joint Conference on Computational Intelligence - ECTA},
year={2023},
pages={96-107},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012188900003595},
isbn={978-989-758-674-3},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computational Intelligence - ECTA
TI - On Switching Selection Methods to Increase Parsimony Pressure
SN - 978-989-758-674-3
IS - 2184-3236
AU - de Lima, A.
AU - Carvalho, S.
AU - Dias, D.
AU - Sullivan, J.
AU - Ryan, C.
PY - 2023
SP - 96
EP - 107
DO - 10.5220/0012188900003595
PB - SciTePress