The parameter tuning process is one of the main tasks in the development of metaheuristics. The appropriate
parameter can assist in finding good solutions to combinatorial optimization problems. However, finding a good parameter setting is a hard task. It involves understanding how the relationship between parameters connects to the problem scenario. The goal is to develop an efficient method in terms of solution quality and computational time, which can find configurations that support metaheuristics in solving optimization problems.