Stochastic Marine Predator Algorithm with Multiple Candidateshttps://doi.org/10.34820/FK2/AUZLXGPurba Daru KusumaRatna Astuti NugrahaeniTelkom University Dataverse2022-07-142022-07-14T13:13:16ZThis work proposes a metaheuristic algorithm that modifies the marine predator algorithm (MPA), namely, the stochastic marine predator algorithm with multiple candidates (SMPA-MC). The modification is conducted in several aspects. The proposed algorithm replaces the three fixed equal size iteration phases with linear probability. Unlike the original MPA, in this proposed algorithm, the selection between exploration and exploitation is conducted stochastically during iteration.Computer and Information ScienceP. D. Kusuma and R. A. Nugrahaeni, "Stochastic Marine Predator Algorithm with Multiple Candidates", International Journal of Advanced Computer Science and Applications, 13(4), 241-251, 2022.DARU KUSUMA, PURBA2022-07-14CC0CC0 Waiver