Publication:
Performance of Parallel Artificial Bee Colony Algorithm on Solving Probabilistic Sensor Deployment Problem

dc.authorscopusid56294787600
dc.authorscopusid57200283541
dc.authorscopusid56541163100
dc.contributor.authorAslan, Selcuk
dc.contributor.authorAksoy, A.
dc.contributor.authorGünay, M.
dc.date.accessioned2020-06-21T13:12:05Z
dc.date.available2020-06-21T13:12:05Z
dc.date.issued2019
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Aslan] Selcuk, Department of Computer Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Aksoy] Alperen, Department of Computer Engineering, Akdeniz Üniversitesi, Antalya, Turkey; [Günay] Melih, Department of Computer Engineering, Akdeniz Üniversitesi, Antalya, Turkeyen_US
dc.description.abstractDriven by the increasing power and computational capabilities of the multi-core processor architectures, parallelization of the existing algorithmic approaches for utilizing advantageous sides of the mentioned architectures have become one of the most challenging issues for researchers. In this study, Artificial Bee Colony (ABC) algorithm inspired by the complex behaviours of real honey bees is parallelized and performance of the parallelized implementation of the ABC algorithm is analyzed on solving wireless sensor deployment problem. Experimental studies with different values of the control parameters showed that the parallelized variants of the ABC algorithm are capable of producing similar solutions compared to the standard serial ABC algorithm in addition to the improved execution times. © 2018 IEEE.en_US
dc.identifier.doi10.1109/IDAP.2018.8620908
dc.identifier.isbn9781538668788
dc.identifier.scopus2-s2.0-85062553078
dc.identifier.urihttps://doi.org/10.1109/IDAP.2018.8620908
dc.identifier.wosWOS:000458717400185
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof-- 2018 International Conference on Artificial Intelligence and Data Processing, IDAP 2018 -- 2018-09-28 through 2018-09-30 -- Malatya -- 144523en_US
dc.relation.journal2018 International Conference on Artificial Intelligence and Data Processing (Idap)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial Bee Colonyen_US
dc.subjectParallelizationen_US
dc.subjectSensor Deploymenten_US
dc.titlePerformance of Parallel Artificial Bee Colony Algorithm on Solving Probabilistic Sensor Deployment Problemen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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