Enhancing the cuckoo search with levy flight through population estimation
This paper proposed the use of population estimation in a new meta-heuristic called Cuckoo search (CS) algorithm to minimize the training error, achieve fast convergence rate and to avoid local minimum problem. The CS algorithm which imitates the cuckoo bird’s search behavior for finding the best ne...
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| Format: | Article |
| Language: | en |
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Asian Research Publishing Network (ARPN)
2016
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| Online Access: | http://eprints.uthm.edu.my/4295/1/AJ%202016%20%2834%29.pdf http://eprints.uthm.edu.my/4295/ |
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| _version_ | 1833417561945931776 |
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| author | Mohd Nawi, Nazri Shahuddin, Shah Liyana Rehman, Muhammad Zubair Khan, Abdullah |
| author_facet | Mohd Nawi, Nazri Shahuddin, Shah Liyana Rehman, Muhammad Zubair Khan, Abdullah |
| author_sort | Mohd Nawi, Nazri |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This paper proposed the use of population estimation in a new meta-heuristic called Cuckoo search (CS) algorithm to minimize the training error, achieve fast convergence rate and to avoid local minimum problem. The CS algorithm which imitates the cuckoo bird’s search behavior for finding the best nest has been applied independently to solve several engineering design optimization problems based on cuckoo bird’s behavior. The algorithm is tested on five benchmark functions such as Ackley function, Griewank function, Rastrigin function, Rosenbrock function and Schwefel function. The performance of the proposed algorithm was compared with Particle Swarm Optimization (PSO), Wolf Search Algorithm (WSA) and Artificial Bee Colony (ABC). The simulation results show that the CS with Levy flight out performs PSO, WSA and ABC, when the cuckoo population is varied. |
| format | Article |
| id | my.uthm.eprints-4295 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2016 |
| publisher | Asian Research Publishing Network (ARPN) |
| record_format | eprints |
| spelling | my.uthm.eprints-42952021-12-02T02:35:44Z http://eprints.uthm.edu.my/4295/ Enhancing the cuckoo search with levy flight through population estimation Mohd Nawi, Nazri Shahuddin, Shah Liyana Rehman, Muhammad Zubair Khan, Abdullah QA299.6-433 Analysis This paper proposed the use of population estimation in a new meta-heuristic called Cuckoo search (CS) algorithm to minimize the training error, achieve fast convergence rate and to avoid local minimum problem. The CS algorithm which imitates the cuckoo bird’s search behavior for finding the best nest has been applied independently to solve several engineering design optimization problems based on cuckoo bird’s behavior. The algorithm is tested on five benchmark functions such as Ackley function, Griewank function, Rastrigin function, Rosenbrock function and Schwefel function. The performance of the proposed algorithm was compared with Particle Swarm Optimization (PSO), Wolf Search Algorithm (WSA) and Artificial Bee Colony (ABC). The simulation results show that the CS with Levy flight out performs PSO, WSA and ABC, when the cuckoo population is varied. Asian Research Publishing Network (ARPN) 2016 Article PeerReviewed text en http://eprints.uthm.edu.my/4295/1/AJ%202016%20%2834%29.pdf Mohd Nawi, Nazri and Shahuddin, Shah Liyana and Rehman, Muhammad Zubair and Khan, Abdullah (2016) Enhancing the cuckoo search with levy flight through population estimation. ARPN Journal of Engineering and Applied Sciences, 11 (22). pp. 13232-13240. ISSN 1819-6608 |
| spellingShingle | QA299.6-433 Analysis Mohd Nawi, Nazri Shahuddin, Shah Liyana Rehman, Muhammad Zubair Khan, Abdullah Enhancing the cuckoo search with levy flight through population estimation |
| title | Enhancing the cuckoo search with levy flight through population estimation |
| title_full | Enhancing the cuckoo search with levy flight through population estimation |
| title_fullStr | Enhancing the cuckoo search with levy flight through population estimation |
| title_full_unstemmed | Enhancing the cuckoo search with levy flight through population estimation |
| title_short | Enhancing the cuckoo search with levy flight through population estimation |
| title_sort | enhancing the cuckoo search with levy flight through population estimation |
| topic | QA299.6-433 Analysis |
| url | http://eprints.uthm.edu.my/4295/1/AJ%202016%20%2834%29.pdf http://eprints.uthm.edu.my/4295/ |
| url_provider | http://eprints.uthm.edu.my/ |