Stochastic Marine Predator Algorithm with Multiple Candidates (doi:10.34820/FK2/AUZLXG)

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Document Description

Citation

Title:

Stochastic Marine Predator Algorithm with Multiple Candidates

Identification Number:

doi:10.34820/FK2/AUZLXG

Distributor:

Telkom University Dataverse

Date of Distribution:

2022-07-14

Version:

1

Bibliographic Citation:

Purba Daru Kusuma; Ratna Astuti Nugrahaeni, 2022, "Stochastic Marine Predator Algorithm with Multiple Candidates", https://doi.org/10.34820/FK2/AUZLXG, Telkom University Dataverse, V1

Study Description

Citation

Title:

Stochastic Marine Predator Algorithm with Multiple Candidates

Identification Number:

doi:10.34820/FK2/AUZLXG

Authoring Entity:

Purba Daru Kusuma (Telkom University)

Ratna Astuti Nugrahaeni (Telkom University)

Distributor:

Telkom University Dataverse

Access Authority:

DARU KUSUMA, PURBA

Depositor:

DARU KUSUMA, PURBA

Date of Deposit:

2022-07-14

Study Scope

Keywords:

Computer and Information Science

Abstract:

This 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.

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Related Publications

Citation

Bibliographic Citation:

P. 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.

Other Study-Related Materials

Label:

Paper_28-Stochastic_Marine_Predator_Algorithm.pdf

Notes:

application/pdf