Non-dominated sorting Harris’s hawk multi-objective optimizer based on reference point approach
A non-dominated sorting Harris’s hawk multi- objective optimizer (NDSHHMO) algorithm is presented in this paper. The algorithm is able to improve the population diversity, convergence of non-dominated solutions toward the Pareto front, and prevent the population from trapping into local optimal. Thi...
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| Format: | Article |
| Language: | English |
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Institute of Advanced Engineering and Science (IAES)
2019
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| Online Access: | https://repo.uum.edu.my/id/eprint/27860/1/IJEECS%2015%203%202019%201603-1614.pdf |
| _version_ | 1803629359386329088 |
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| author | Yasear, Shaymah Akram Ku-Mahamud, Ku Ruhana |
| author_facet | Yasear, Shaymah Akram Ku-Mahamud, Ku Ruhana |
| author_sort | Yasear, Shaymah Akram |
| collection | UUM |
| description | A non-dominated sorting Harris’s hawk multi- objective optimizer (NDSHHMO) algorithm is presented in this paper. The algorithm is able to improve the population diversity, convergence of non-dominated solutions toward the Pareto front, and prevent the population from trapping into local optimal. This was achieved by integrating fast non-dominated sorting with the original Harris’s hawk multi-objective optimizer (HHMO). Non-dominated sorting divides the objective space into levels based on fitness values and then selects non-dominated solutions to produce the next generation of hawks. A set of well-known multi-objective optimization problems has been used to evaluate the performance of the proposed NDSHHMO algorithm. The results of the NDSHHMO algorithm were verified against the results of an HHMO algorithm. Experimental results demonstrate the efficiency of the proposed NDSHHMO algorithm in terms of enhancing the ability of convergence toward the Pareto front and significantly improve the search ability of the HHMO. |
| first_indexed | 2024-07-04T06:36:36Z |
| format | Article |
| id | uum-27860 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:36:36Z |
| publishDate | 2019 |
| publisher | Institute of Advanced Engineering and Science (IAES) |
| record_format | dspace |
| spelling | uum-278602020-11-10T05:48:18Z https://repo.uum.edu.my/id/eprint/27860/ Non-dominated sorting Harris’s hawk multi-objective optimizer based on reference point approach Yasear, Shaymah Akram Ku-Mahamud, Ku Ruhana QA75 Electronic computers. Computer science A non-dominated sorting Harris’s hawk multi- objective optimizer (NDSHHMO) algorithm is presented in this paper. The algorithm is able to improve the population diversity, convergence of non-dominated solutions toward the Pareto front, and prevent the population from trapping into local optimal. This was achieved by integrating fast non-dominated sorting with the original Harris’s hawk multi-objective optimizer (HHMO). Non-dominated sorting divides the objective space into levels based on fitness values and then selects non-dominated solutions to produce the next generation of hawks. A set of well-known multi-objective optimization problems has been used to evaluate the performance of the proposed NDSHHMO algorithm. The results of the NDSHHMO algorithm were verified against the results of an HHMO algorithm. Experimental results demonstrate the efficiency of the proposed NDSHHMO algorithm in terms of enhancing the ability of convergence toward the Pareto front and significantly improve the search ability of the HHMO. Institute of Advanced Engineering and Science (IAES) 2019 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/27860/1/IJEECS%2015%203%202019%201603-1614.pdf Yasear, Shaymah Akram and Ku-Mahamud, Ku Ruhana (2019) Non-dominated sorting Harris’s hawk multi-objective optimizer based on reference point approach. Indonesian Journal of Electrical Engineering and Computer Science, 15 (3). pp. 1603-1614. ISSN 2502-4752 http://doi.org/10.11591/ijeecs.v15.i3.pp1603-1614 doi:10.11591/ijeecs.v15.i3.pp1603-1614 doi:10.11591/ijeecs.v15.i3.pp1603-1614 |
| spellingShingle | QA75 Electronic computers. Computer science Yasear, Shaymah Akram Ku-Mahamud, Ku Ruhana Non-dominated sorting Harris’s hawk multi-objective optimizer based on reference point approach |
| title | Non-dominated sorting Harris’s hawk multi-objective optimizer based on reference point approach |
| title_full | Non-dominated sorting Harris’s hawk multi-objective optimizer based on reference point approach |
| title_fullStr | Non-dominated sorting Harris’s hawk multi-objective optimizer based on reference point approach |
| title_full_unstemmed | Non-dominated sorting Harris’s hawk multi-objective optimizer based on reference point approach |
| title_short | Non-dominated sorting Harris’s hawk multi-objective optimizer based on reference point approach |
| title_sort | non dominated sorting harris s hawk multi objective optimizer based on reference point approach |
| topic | QA75 Electronic computers. Computer science |
| url | https://repo.uum.edu.my/id/eprint/27860/1/IJEECS%2015%203%202019%201603-1614.pdf |
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