Publication:
Systematic Review of Enhancement of Artificial Bee Colony Algorithm Using Ant Colony Pheromone

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dc.citedby8
dc.contributor.authorAlaidi A.H.en_US
dc.contributor.authorDer C.S.en_US
dc.contributor.authorLeong Y.W.en_US
dc.contributor.authorid57202605291en_US
dc.contributor.authorid7410253413en_US
dc.contributor.authorid26326032700en_US
dc.date.accessioned2023-05-29T09:10:58Z
dc.date.available2023-05-29T09:10:58Z
dc.date.issued2021
dc.description.abstractThe artificial bee colony (ABC) is a well-studied algorithm developed to solve continuous function optimization problems by Karboga and Akay in 2009. ABC has been proven to be more effective than other biological-inspired algorithms with good exploration. However, ABC suffers from low exploitation and slow convergence in some cases. The ABC algorithm study has risen significantly over the past decade, with many researchers trying to improve ABC performance and apply it to solve problems. One method to enhance ABC is to borrow exploration technique from other algorithms. Researchers use pheromone, which is a technique used by Ant Colony optimization algorithm, to enhance ABC and addressed several aspects of using a pheromone to enhance ABC. This systematic review aims to review and analysis articles about using pheromone to enhance ABC. Articles on related topics were systematically searched in four major databases, namely Scopus, Web of Science, Association for Computing Machinery ACM and Google Scholar. To ensure that all research articles were considered the start date is not restrictions the search carry out till February 2021. Five articles were selected based on our inclusion and exclusion criteria for the systematic review. The results show that the use Pheromone to enhance ABC can increase the ABC exploitation ability and overcoming the late convergence. This paper also illustrates several potential pheromone using for future work. � 2021. All Rights Reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.3991/ijim.v15i16.24171
dc.identifier.epage180
dc.identifier.issue16
dc.identifier.scopus2-s2.0-85119494147
dc.identifier.spage172
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85119494147&doi=10.3991%2fijim.v15i16.24171&partnerID=40&md5=41b14934ad7f774c90c64ca1a57c3313
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26476
dc.identifier.volume15
dc.publisherInternational Association of Online Engineeringen_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleInternational Journal of Interactive Mobile Technologies
dc.titleSystematic Review of Enhancement of Artificial Bee Colony Algorithm Using Ant Colony Pheromoneen_US
dc.typeArticleen_US
dspace.entity.typePublication
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