A Hybrid Method Based on Cuckoo Search Algorithm for Global Optimization Problems
Cuckoo search algorithm is considered one of the promising metaheuristic algorithms applied to solve numerous problems in different fields. However, it undergoes the premature convergence problem for high dimensional problems because the algorithm converges rapidly. Therefore, we proposed a robust a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Universiti Utara Malaysia Press
2018
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| Online Access: | https://repo.uum.edu.my/id/eprint/29162/1/JICT%2017%2003%202018%20469-491.pdf |
| _version_ | 1825805933225181184 |
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| author | Shehab, Mohammad Khader, Ahamad Tajudin Laouchedi, Makhlouf |
| author_facet | Shehab, Mohammad Khader, Ahamad Tajudin Laouchedi, Makhlouf |
| author_sort | Shehab, Mohammad |
| collection | UUM |
| description | Cuckoo search algorithm is considered one of the promising metaheuristic algorithms applied to solve numerous problems in different fields. However, it undergoes the premature convergence problem for high dimensional problems because the algorithm converges rapidly. Therefore, we proposed a robust approach to solve this issue by hybridizing optimization algorithm, which is a combination of Cuckoo search algorithm and Hill climbing called CSAHC discovers many local optimum traps by using local and global searches, although the local search method is trapped at the local minimum point. In other words, CSAHC has the ability to balance between the global exploration of the CSA and the deep exploitation of the HC method. The validation of the performance is determined by applying 13 benchmarks. The results of experimental simulations prove the improvement in the efficiency and the effect of the cooperation strategy and the promising of CSAHC. |
| first_indexed | 2024-07-04T06:40:20Z |
| format | Article |
| id | uum-29162 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:40:20Z |
| publishDate | 2018 |
| publisher | Universiti Utara Malaysia Press |
| record_format | eprints |
| spelling | uum-291622023-02-09T02:35:09Z https://repo.uum.edu.my/id/eprint/29162/ A Hybrid Method Based on Cuckoo Search Algorithm for Global Optimization Problems Shehab, Mohammad Khader, Ahamad Tajudin Laouchedi, Makhlouf QA75 Electronic computers. Computer science Cuckoo search algorithm is considered one of the promising metaheuristic algorithms applied to solve numerous problems in different fields. However, it undergoes the premature convergence problem for high dimensional problems because the algorithm converges rapidly. Therefore, we proposed a robust approach to solve this issue by hybridizing optimization algorithm, which is a combination of Cuckoo search algorithm and Hill climbing called CSAHC discovers many local optimum traps by using local and global searches, although the local search method is trapped at the local minimum point. In other words, CSAHC has the ability to balance between the global exploration of the CSA and the deep exploitation of the HC method. The validation of the performance is determined by applying 13 benchmarks. The results of experimental simulations prove the improvement in the efficiency and the effect of the cooperation strategy and the promising of CSAHC. Universiti Utara Malaysia Press 2018 Article PeerReviewed application/pdf en cc4_by https://repo.uum.edu.my/id/eprint/29162/1/JICT%2017%2003%202018%20469-491.pdf Shehab, Mohammad and Khader, Ahamad Tajudin and Laouchedi, Makhlouf (2018) A Hybrid Method Based on Cuckoo Search Algorithm for Global Optimization Problems. Journal of Information and Communication Technology, 17 (3). pp. 469-491. ISSN 2180-3862 https://doi.org/10.32890/jict2018.17.3.8261 |
| spellingShingle | QA75 Electronic computers. Computer science Shehab, Mohammad Khader, Ahamad Tajudin Laouchedi, Makhlouf A Hybrid Method Based on Cuckoo Search Algorithm for Global Optimization Problems |
| title | A Hybrid Method Based on Cuckoo Search Algorithm for Global Optimization Problems |
| title_full | A Hybrid Method Based on Cuckoo Search Algorithm for Global Optimization Problems |
| title_fullStr | A Hybrid Method Based on Cuckoo Search Algorithm for Global Optimization Problems |
| title_full_unstemmed | A Hybrid Method Based on Cuckoo Search Algorithm for Global Optimization Problems |
| title_short | A Hybrid Method Based on Cuckoo Search Algorithm for Global Optimization Problems |
| title_sort | hybrid method based on cuckoo search algorithm for global optimization problems |
| topic | QA75 Electronic computers. Computer science |
| url | https://repo.uum.edu.my/id/eprint/29162/1/JICT%2017%2003%202018%20469-491.pdf |
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