Reproducibility in Evolutionary Computation

Manuel López-ibáñez, Juergen Branke, Luís Paquete

Research output: Contribution to journalArticlepeer-review

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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.
Original languageEnglish
Pages (from-to)1-21
JournalACM Transactions on Evolutionary Learning and Optimization
Volume1
Issue number4
Early online date13 Oct 2021
DOIs
Publication statusPublished - 1 Dec 2021

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