Systematic Review of Enhancement of Artificial Bee Colony Algorithm Using Ant Colony Pheromone
The 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 a...
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International Association of Online Engineering
2023
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my.uniten.dspace-264762023-05-29T17:10:58Z Systematic Review of Enhancement of Artificial Bee Colony Algorithm Using Ant Colony Pheromone Alaidi A.H. Der C.S. Leong Y.W. 57202605291 7410253413 26326032700 The 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. Final 2023-05-29T09:10:58Z 2023-05-29T09:10:58Z 2021 Article 10.3991/ijim.v15i16.24171 2-s2.0-85119494147 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119494147&doi=10.3991%2fijim.v15i16.24171&partnerID=40&md5=41b14934ad7f774c90c64ca1a57c3313 https://irepository.uniten.edu.my/handle/123456789/26476 15 16 172 180 All Open Access, Gold International Association of Online Engineering Scopus |
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The 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. |
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57202605291 Alaidi A.H. Der C.S. Leong Y.W. |
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Alaidi A.H. Der C.S. Leong Y.W. Systematic Review of Enhancement of Artificial Bee Colony Algorithm Using Ant Colony Pheromone |
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Alaidi A.H. |
title |
Systematic Review of Enhancement of Artificial Bee Colony Algorithm Using Ant Colony Pheromone |
title_short |
Systematic Review of Enhancement of Artificial Bee Colony Algorithm Using Ant Colony Pheromone |
title_full |
Systematic Review of Enhancement of Artificial Bee Colony Algorithm Using Ant Colony Pheromone |
title_fullStr |
Systematic Review of Enhancement of Artificial Bee Colony Algorithm Using Ant Colony Pheromone |
title_full_unstemmed |
Systematic Review of Enhancement of Artificial Bee Colony Algorithm Using Ant Colony Pheromone |
title_sort |
systematic review of enhancement of artificial bee colony algorithm using ant colony pheromone |
publisher |
International Association of Online Engineering |
publishDate |
2023 |
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1806428055424466944 |
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13.211869 |