Biogeography-Based Optimization Algorithm on Symbiotic Search
In order to balance the diversity and intensity of biogeography-based optimization (BBO) algorithm in the search process, the idea of symbiotic organisms search (SOS) is introduced, and the asymbiotic biogeography based optimization (SBBO) algorithm is proposed. Firstly, the initial population is op...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Aero Weaponry
2022-12-01
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| Series: | Hangkong bingqi |
| Subjects: | |
| Online Access: | https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/2022-00042.pdf |
| _version_ | 1797976203122966528 |
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| author | Zhu Xiaowen, Fan Chengli, Lu Yingqi, Qi Cheng, Li Wei |
| author_facet | Zhu Xiaowen, Fan Chengli, Lu Yingqi, Qi Cheng, Li Wei |
| author_sort | Zhu Xiaowen, Fan Chengli, Lu Yingqi, Qi Cheng, Li Wei |
| collection | DOAJ |
| description | In order to balance the diversity and intensity of biogeography-based optimization (BBO) algorithm in the search process, the idea of symbiotic organisms search (SOS) is introduced, and the asymbiotic biogeography based optimization (SBBO) algorithm is proposed. Firstly, the initial population is optimized by symbiotic operation to reduce the randomness of the initial population. On this basis, in order to improve the ability to explore the diversity of solutions in the migration process and avoid premature convergence, dynamic selection migration operator and mutually beneficial migration operator are proposed, and the functions of the two migration operators in different iterations are balanced by cosine adaptive factor. Furthermore, a symbiotic mutation operator is proposed to improve the ability of the algorithm to maintain population diversity. Simulation results show that the proposed algorithm can coordinate local search and global search, and improve the accuracy and efficiency. |
| first_indexed | 2024-04-11T04:47:21Z |
| format | Article |
| id | doaj.art-0e21f126587541a082c266485c1ce92f |
| institution | Directory Open Access Journal |
| issn | 1673-5048 |
| language | zho |
| last_indexed | 2024-04-11T04:47:21Z |
| publishDate | 2022-12-01 |
| publisher | Editorial Office of Aero Weaponry |
| record_format | Article |
| series | Hangkong bingqi |
| spelling | doaj.art-0e21f126587541a082c266485c1ce92f2022-12-27T08:41:51ZzhoEditorial Office of Aero WeaponryHangkong bingqi1673-50482022-12-01296404910.12132/ISSN.1673-5048.2022.0042Biogeography-Based Optimization Algorithm on Symbiotic SearchZhu Xiaowen, Fan Chengli, Lu Yingqi, Qi Cheng, Li Wei0Air Force Engineering University, Xi’an 710051, ChinaIn order to balance the diversity and intensity of biogeography-based optimization (BBO) algorithm in the search process, the idea of symbiotic organisms search (SOS) is introduced, and the asymbiotic biogeography based optimization (SBBO) algorithm is proposed. Firstly, the initial population is optimized by symbiotic operation to reduce the randomness of the initial population. On this basis, in order to improve the ability to explore the diversity of solutions in the migration process and avoid premature convergence, dynamic selection migration operator and mutually beneficial migration operator are proposed, and the functions of the two migration operators in different iterations are balanced by cosine adaptive factor. Furthermore, a symbiotic mutation operator is proposed to improve the ability of the algorithm to maintain population diversity. Simulation results show that the proposed algorithm can coordinate local search and global search, and improve the accuracy and efficiency.https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/2022-00042.pdf|bbo algorithm|sos algorithm|dynamic migration operator|mutually beneficial migration operator|symbiotic mutation operator heuristic algorithm|missile penetration |
| spellingShingle | Zhu Xiaowen, Fan Chengli, Lu Yingqi, Qi Cheng, Li Wei Biogeography-Based Optimization Algorithm on Symbiotic Search Hangkong bingqi |bbo algorithm|sos algorithm|dynamic migration operator|mutually beneficial migration operator|symbiotic mutation operator heuristic algorithm|missile penetration |
| title | Biogeography-Based Optimization Algorithm on Symbiotic Search |
| title_full | Biogeography-Based Optimization Algorithm on Symbiotic Search |
| title_fullStr | Biogeography-Based Optimization Algorithm on Symbiotic Search |
| title_full_unstemmed | Biogeography-Based Optimization Algorithm on Symbiotic Search |
| title_short | Biogeography-Based Optimization Algorithm on Symbiotic Search |
| title_sort | biogeography based optimization algorithm on symbiotic search |
| topic | |bbo algorithm|sos algorithm|dynamic migration operator|mutually beneficial migration operator|symbiotic mutation operator heuristic algorithm|missile penetration |
| url | https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/2022-00042.pdf |
| work_keys_str_mv | AT zhuxiaowenfanchengliluyingqiqichengliwei biogeographybasedoptimizationalgorithmonsymbioticsearch |