Reproducibility in Evolutionary Computation

• URL: http://arxiv.org/abs/2102.03380v1
• Date: Fri, 5 Feb 2021 19:06:35 GMT
• Title: Reproducibility in Evolutionary Computation
• Authors: Manuel L\'opez-Ib\'a\~nez (University of M\'alaga, Spain), Juergen Branke (University of Warwick, UK), Lu\'is Paquete (University of Coimbra, Portugal)
• Abstract summary: We discuss, within the context of EC, the different types of as well as the concepts of artifact and measurement. We identify cultural and technical obstacles to in the EC field. We suggest tools that may help to overcome some of these obstacles.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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 suggest a classification of different types of reproducibility that refines the badge system of the Association of Computing Machinery (ACM) adopted by TELO. We discuss, within the context of EC, the different types of reproducibility as well as the concepts of artifact and measurement, which are crucial for claiming reproducibility. 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.

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