Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Reproducibility in evolutionary computation

Tools
- Tools
+ Tools

Lopez-Ibanez, Manuel, Branke, Juergen and Paquete, Luis (2021) Reproducibility in evolutionary computation. ACM Transactions on Evolutionary Learning and Optimization, 1 (4). 14. doi:10.1145/3466624

[img]
Preview
PDF
WRAP-reproducibility-evolutionary-computation-Branke-2021.pdf - Accepted Version - Requires a PDF viewer.

Download (1030Kb) | Preview
Official URL: https://doi.org/10.1145/3466624

Request Changes to record.

Abstract

Experimental studies are prevalent in Evolutionary Computation (EC), and concerns about the reproducibility and replicability of such studies have increased in recent times, reflecting similar concerns in other scientific fields. In this article, we discuss, within the context of EC, the different types of reproducibility and suggest a classification that refines the badge system of the Association of Computing Machinery (ACM) adopted by ACM Transactions on Evolutionary Learning and Optimization (TELO). We identify cultural and technical obstacles to reproducibility in the EC field. Finally, we provide guidelines and suggest tools that may help to overcome some of these reproducibility obstacles.

Item Type: Journal Article
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Social Sciences > Warwick Business School > Operational Research & Management Sciences
Faculty of Social Sciences > Warwick Business School
Library of Congress Subject Headings (LCSH): Evolutionary computation -- Research, Evolutionary computation -- Classification, Reproducible research
Journal or Publication Title: ACM Transactions on Evolutionary Learning and Optimization
Publisher: Association for Computing Machinery (ACM)
ISSN: 2688-299X
Official Date: December 2021
Dates:
DateEvent
December 2021Published
13 October 2021Available
30 June 2021Accepted
Volume: 1
Number: 4
Article Number: 14
DOI: 10.1145/3466624
Status: Peer Reviewed
Publication Status: Published
Publisher Statement: © ACM, 2021. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Lopez-Ibanez, Manuel, Branke, Juergen and Paquete, Luis (2021) Reproducibility in evolutionary computation. ACM Transactions on Evolutionary Learning and Optimization, 1 (4). 14. http://doi.acm.org/10.1145/3466624
Access rights to Published version: Restricted or Subscription Access
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
BEAGAL 18/00053Spain. Ministerio de Ciencia e Innovaciónhttp://viaf.org/viaf/137614380
CISUC – UID/CEC/00326/2020Fundação para a Ciência e a tecnologiahttp://viaf.org/viaf/148753396
Related URLs:
  • Publisher
Open Access Version:
  • ArXiv

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us