loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Dante Niewenhuis 1 ; Abdellah Salhi 2 and Daan van den Berg 1 ; 3

Affiliations: 1 Department of Computer Science, Vrije Universiteit Amsterdam, The Netherlands ; 2 Department of Mathematical Sciences, University of Essex, U.K. ; 3 Universiteit van Amsterdam, The Netherlands

Keyword(s): Genetic Programming, Fitness Landscapes, Evolutionary Algorithms.

Abstract: TreeEvolver, a genetic programming algorithm, is used to make continuous mathematical functions that give rise to 3D landscapes. These are then empirically tested for hardness by a simple evolutionary algorithm, after which TreeEvolver mutates the functions in an effort to increase the hardness of the corresponding landscapes. Results are wildly diverse, but show that traditional continuous benchmark functions such as Branin, Easom and Martin-Gaddy might not be hard at all, and much harder objective landscapes exist.

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 18.217.128.108

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:
Niewenhuis, D.; Salhi, A. and van den Berg, D. (2024). Making Hard(er) Benchmark Functions: Genetic Programming. In Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-692-7; ISSN 2184-4992, SciTePress, pages 567-578. DOI: 10.5220/0012475800003690

@conference{iceis24,
author={Dante Niewenhuis. and Abdellah Salhi. and Daan {van den Berg}.},
title={Making Hard(er) Benchmark Functions: Genetic Programming},
booktitle={Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2024},
pages={567-578},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012475800003690},
isbn={978-989-758-692-7},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Making Hard(er) Benchmark Functions: Genetic Programming
SN - 978-989-758-692-7
IS - 2184-4992
AU - Niewenhuis, D.
AU - Salhi, A.
AU - van den Berg, D.
PY - 2024
SP - 567
EP - 578
DO - 10.5220/0012475800003690
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic