Parameter tuning in metaheuristics: a bibliometric and gap analysis

Parameters are an integral part of every metaheuristic algorithm as these control different aspects of algorithms. Thus, parameter tuning (PT) approaches are one of the prime sub-domains of metaheuristics. The proposed study presents two analyses of PT approaches (i) Bibliometric analysis (BA), for a quantitative overview of the literature giving a multi-dimensional view of studies carried down, and (ii) gap analysis (GA), for identifying voids in the research field. This analysis has been conducted for the time period 2002–2022 over the Scopus database. This study enables a macroscopic view of the field of PT and enables researchers to determine the gaps existing in PT methods, paving the way for future research. To the best of our knowledge, this is the first study presenting a BA and GA over PT methods.