| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document Help

Title:Performance comparison of single-objective evolutionary algorithms implemented in different frameworks
Authors:ID Ravber, Miha (Author)
ID Šmid, Marko (Author)
ID Moravec, Matej (Author)
ID Mernik, Marjan (Author)
ID Črepinšek, Matej (Author)
Files:.pdf infor603_(1).pdf (3,89 MB)
MD5: 9B13796479082B7D3EF92245A384E3DB
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Fair comparison with state-of-the-art evolutionary algorithms is crucial, but is obstructed by differences in problems, parameters, and stopping criteria across studies. Metaheuristic frameworks can help, but often lack clarity on algorithm versions, improvements, or deviations. Some also restrict parameter configuration. We analysed source codes and identified inconsistencies between implementations. Performance comparisons across frameworks, even with identical settings, revealed significant differences, sometimes even with the authors’ own code. This questions the validity of comparisons using such frameworks. We provide guidelines to improve open-source metaheuristics, aiming to support more credible and reliable comparative studies.
Keywords:metaheuristics, evolutionary algorithm, metaheuristic optimization framework, algorithm comparison, benchmarking
Publication status:Published
Publication version:Version of Record
Submitted for review:01.12.2024
Article acceptance date:01.09.2025
Publication date:16.09.2025
Publisher:Informatica
Year of publishing:2025
Number of pages:str. 677-712
Numbering:Vol. 36, iss. 3
PID:20.500.12556/DKUM-95631 New window
UDC:004.45
ISSN on article:1822-8844
COBISS.SI-ID:250119171 New window
DOI:10.15388/25-INFOR603 New window
Publication date in DKUM:02.10.2025
Views:219
Downloads:8
Metadata:XML DC-XML DC-RDF
Categories:Misc.
:
Copy citation
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share



Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0114
Name:Aplikativna elektromagnetika

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0041
Name:Računalniški sistemi, metodologije in inteligentne storitve

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:metahevristični optimizacijski okvir, metaheuristika, evolucijski algoritmi, primerjava algoritmov, primerjalna analiza


Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica