Martin-Santamaria, RaulCavero, SergioHerran, AlbertoDuarte, AbrahamColmenar, Jose Manuel2024-01-252024-01-252023Evolutionary Computation 1–36. https://doi.org/10.1162/evco_a_00317https://hdl.handle.net/10115/28888Reproducibility of experiments is a complex task in stochastic methods such as evolu- tionary algorithms or metaheuristics in general. Many works from the literature give general guidelines to favor reproducibility. However, none of them provide both a practical set of steps and also software tools to help on this process. In this paper, we propose a practical methodology to favor reproducibility in optimization prob- lems tackled with stochastic methods. This methodology is divided into three main steps, where the researcher is assisted by software tools which implement state-of-the- art techniques related to this process. The methodology has been applied to study the Double Row Facility Layout Problem, where we propose a new algorithm able to obtain better results than the state-of-the-art methods. To this aim, we have also repli- cated the previous methods in order to complete the study with a new set of larger instances. All the produced artifacts related to the methodology and the study of the target problem are available in Zenodo.engReproducibilitymetaheuristicfacility layoutinfo:eu-repo/semantics/article10.1162/evco_a_00317info:eu-repo/semantics/restrictedAccess