A Modified Symbiotic Organism Search Algorithm with Lévy Flight for Software Module Clustering Problem

摘要: To date, there are much increasing trends on adopting parameter free meta-heuristic algorithms for solving general optimization problems. With algorithms, no controls tuning. As such, the adoption of is often straightforward. On negative note, exploration (i.e. roaming search space thoroughly) and exploitation manipulating current known best neighbor) pre-set. spaces problem dependent, any pre-set can lead to entrapment in local optima. In this paper, we investigate use Levy flight enhance a algorithm, called Modified Symbiotic Organism Search Algorithm (MSOS), via its population initialization. Our experimentations involving software module clustering problems have been encouraging, as MSOS gives competitive results against existing selected algorithms. For all given problems, generates overall mean results.