Stochastic Marine Predator Algorithm with Multiple Candidatesdoi:10.34820/FK2/AUZLXGTelkom University Dataverse2022-07-141Purba Daru Kusuma; Ratna Astuti Nugrahaeni, 2022, "Stochastic Marine Predator Algorithm with Multiple Candidates", https://doi.org/10.34820/FK2/AUZLXG, Telkom University Dataverse, V1Stochastic Marine Predator Algorithm with Multiple Candidatesdoi:10.34820/FK2/AUZLXGPurba Daru KusumaRatna Astuti NugrahaeniTelkom University DataverseDARU KUSUMA, PURBADARU KUSUMA, PURBA2022-07-14Computer and Information ScienceThis 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.CC0 WaiverP. 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.Paper_28-Stochastic_Marine_Predator_Algorithm.pdfapplication/pdf