A Hybrid Flower Pollination with p-Hill Climbing Algorithm for Global Optimization
In this paper, the -hill climbing optimizer is hybridized with the flower pollination algorithm (FPA) as a local refinement operator for global optimization problems. The proposed method is called HyFPA-hc. Such hybridization aims to enhance the balance between exploration and exploitation processes...
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| Other Authors: | , , , , , |
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2021
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| Online Access: | https://dspace.auk.edu.kw/handle/11675/8251 https://www.sciencedirect.com/science/article/pii/S1319157821001609?via%3Dihub |
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| _version_ | 1870679730918785024 |
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| author | Abou Doush, Iyad |
| author2 | Al-Betar, Mohammed Azmi Awadallah, Mohammed Alyasseri, Zaid Abdi Alkareem Abasi, Ammar Makhadmeh, Sharif Alomari, Osama Ahmad |
| author2_role | author author author author author author |
| author_facet | Abou Doush, Iyad Al-Betar, Mohammed Azmi Awadallah, Mohammed Alyasseri, Zaid Abdi Alkareem Abasi, Ammar Makhadmeh, Sharif Alomari, Osama Ahmad |
| author_role | author |
| dc.creator.none.fl_str_mv | Abou Doush, Iyad Al-Betar, Mohammed Azmi Awadallah, Mohammed Alyasseri, Zaid Abdi Alkareem Abasi, Ammar Makhadmeh, Sharif Alomari, Osama Ahmad |
| dc.date.none.fl_str_mv | 2021-12-22T08:28:06Z 2021-12-22T08:28:06Z 2021-06-29 |
| dc.identifier.none.fl_str_mv | Alkareem Alyasseri, Z. A., Al-Betar, M. A., Awadallah, M. A., Makhadmeh, S. N., Abasi, A. K., Doush, I. A., & Alomari, O. A. (2021). A hybrid flower pollination with hill climbing algorithm for global optimization. Journal of King Saud University - Computer and Information Sciences. https://doi.org/10.1016/j.jksuci.2021.06.015 https://dspace.auk.edu.kw/handle/11675/8251 https://www.sciencedirect.com/science/article/pii/S1319157821001609?via%3Dihub |
| dc.publisher.none.fl_str_mv | Journal of King Saud University - Computer and Information Sciences |
| dc.relation.none.fl_str_mv | College of Engineering and Applied Sciences |
| dc.title.none.fl_str_mv | A Hybrid Flower Pollination with p-Hill Climbing Algorithm for Global Optimization |
| dc.type.none.fl_str_mv | Journal Article Peer-Reviewed info:eu-repo/semantics/publishedVersion |
| description | In this paper, the -hill climbing optimizer is hybridized with the flower pollination algorithm (FPA) as a local refinement operator for global optimization problems. The proposed method is called HyFPA-hc. Such hybridization aims to enhance the balance between exploration and exploitation processes during the search, thus improving the quality of the outcomes. -hill climbing optimizer is a recent trajectory-based algorithm with a powerful digging the niche to search and find the local optimum, while FPA is a recent population-based algorithm with robust mining several niches in the search space without proper concentration. The proposed HyFPA-hc is evaluated using 15 unimodal and multimodal test functions established in IEEE-CEC2015. The results show significant improvement in the convergence behaviour of the proposed HyFPA-hc over FPA using different dimensions of the test function. The comparative evaluation is also conducted against 26 state-of-the-art methods. The experiments consider three problem sizes (with dimensions 10, 30, and 50) to show the proposed HyFPA-hc performance against all comparative methods, where the proposed method outperformed all compared methods in optimizing 8, 7, 4 out of 15 test functions for 10, 30, 50 dimensions, respectively. Accordingly, the achieved results prove the efficiency of the proposed HyFPA-hc in optimizing various problem dimensions. In conclusion, the proposed hybrid metaheuristic method can search powerfully in the niches of optimization problems search space and produces very fruitful outcomes. |
| id | AUKR_82f4f8ecc145b9a01b642aa9befc278f |
| identifier_str_mv | Alkareem Alyasseri, Z. A., Al-Betar, M. A., Awadallah, M. A., Makhadmeh, S. N., Abasi, A. K., Doush, I. A., & Alomari, O. A. (2021). A hybrid flower pollination with hill climbing algorithm for global optimization. Journal of King Saud University - Computer and Information Sciences. https://doi.org/10.1016/j.jksuci.2021.06.015 |
| network_acronym_str | AUKR |
| network_name_str | AU Kuwait Rep |
| oai_identifier_str | oai:dspace.auk.edu.kw:11675/8251 |
| publishDate | 2021 |
| publisher.none.fl_str_mv | Journal of King Saud University - Computer and Information Sciences |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | A Hybrid Flower Pollination with p-Hill Climbing Algorithm for Global OptimizationAbou Doush, IyadAl-Betar, Mohammed AzmiAwadallah, MohammedAlyasseri, Zaid Abdi Alkareem Abasi, AmmarMakhadmeh, SharifAlomari, Osama AhmadIn this paper, the -hill climbing optimizer is hybridized with the flower pollination algorithm (FPA) as a local refinement operator for global optimization problems. The proposed method is called HyFPA-hc. Such hybridization aims to enhance the balance between exploration and exploitation processes during the search, thus improving the quality of the outcomes. -hill climbing optimizer is a recent trajectory-based algorithm with a powerful digging the niche to search and find the local optimum, while FPA is a recent population-based algorithm with robust mining several niches in the search space without proper concentration. The proposed HyFPA-hc is evaluated using 15 unimodal and multimodal test functions established in IEEE-CEC2015. The results show significant improvement in the convergence behaviour of the proposed HyFPA-hc over FPA using different dimensions of the test function. The comparative evaluation is also conducted against 26 state-of-the-art methods. The experiments consider three problem sizes (with dimensions 10, 30, and 50) to show the proposed HyFPA-hc performance against all comparative methods, where the proposed method outperformed all compared methods in optimizing 8, 7, 4 out of 15 test functions for 10, 30, 50 dimensions, respectively. Accordingly, the achieved results prove the efficiency of the proposed HyFPA-hc in optimizing various problem dimensions. In conclusion, the proposed hybrid metaheuristic method can search powerfully in the niches of optimization problems search space and produces very fruitful outcomes.Journal of King Saud University - Computer and Information Sciences2021-12-22T08:28:06Z2021-12-22T08:28:06Z2021-06-29Journal ArticlePeer-Reviewedinfo:eu-repo/semantics/publishedVersionAlkareem Alyasseri, Z. A., Al-Betar, M. A., Awadallah, M. A., Makhadmeh, S. N., Abasi, A. K., Doush, I. A., & Alomari, O. A. (2021). A hybrid flower pollination with hill climbing algorithm for global optimization. Journal of King Saud University - Computer and Information Sciences. https://doi.org/10.1016/j.jksuci.2021.06.015https://dspace.auk.edu.kw/handle/11675/8251https://www.sciencedirect.com/science/article/pii/S1319157821001609?via%3DihubCollege of Engineering and Applied Sciencesoai:dspace.auk.edu.kw:11675/82512025-06-22T08:48:08Z |
| spellingShingle | A Hybrid Flower Pollination with p-Hill Climbing Algorithm for Global Optimization Abou Doush, Iyad |
| status_str | publishedVersion |
| title | A Hybrid Flower Pollination with p-Hill Climbing Algorithm for Global Optimization |
| title_full | A Hybrid Flower Pollination with p-Hill Climbing Algorithm for Global Optimization |
| title_fullStr | A Hybrid Flower Pollination with p-Hill Climbing Algorithm for Global Optimization |
| title_full_unstemmed | A Hybrid Flower Pollination with p-Hill Climbing Algorithm for Global Optimization |
| title_short | A Hybrid Flower Pollination with p-Hill Climbing Algorithm for Global Optimization |
| title_sort | A Hybrid Flower Pollination with p-Hill Climbing Algorithm for Global Optimization |
| url | https://dspace.auk.edu.kw/handle/11675/8251 https://www.sciencedirect.com/science/article/pii/S1319157821001609?via%3Dihub |