Improved fruit fly algorithm on structural optimization
Abstract To improve the efficiency of the structural optimization design in truss calculation, an improved fruit fly optimization algorithm was proposed for truss structure optimization. The fruit fly optimization algorithm was a novel swarm intelligence algorithm. In the standard fruit fly optimiza...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2020-02-01
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| Series: | Brain Informatics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s40708-020-0102-9 |
| _version_ | 1818019807698616320 |
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| author | Yancang Li Muxuan Han |
| author_facet | Yancang Li Muxuan Han |
| author_sort | Yancang Li |
| collection | DOAJ |
| description | Abstract To improve the efficiency of the structural optimization design in truss calculation, an improved fruit fly optimization algorithm was proposed for truss structure optimization. The fruit fly optimization algorithm was a novel swarm intelligence algorithm. In the standard fruit fly optimization algorithm, it is difficult to solve the high-dimensional nonlinear optimization problem and easy to fall into the local optimum. To overcome the shortcomings of the basic fruit fly optimization algorithm, the immune algorithm self–non-self antigen recognition mechanism and the immune system learn–memory–forgetting knowledge processing mechanism were employed. The improved algorithm was introduced to the structural optimization. Optimization results and comparison with other algorithms show that the stability of improved fruit fly optimization algorithm is apparently improved and the efficiency is obviously remarkable. This study provides a more effective solution to structural optimization problems. |
| first_indexed | 2024-04-14T07:57:15Z |
| format | Article |
| id | doaj.art-0e613e1251dd45878d192dc675cbf117 |
| institution | Directory Open Access Journal |
| issn | 2198-4018 2198-4026 |
| language | English |
| last_indexed | 2024-04-14T07:57:15Z |
| publishDate | 2020-02-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Brain Informatics |
| spelling | doaj.art-0e613e1251dd45878d192dc675cbf1172022-12-22T02:05:01ZengSpringerOpenBrain Informatics2198-40182198-40262020-02-017111310.1186/s40708-020-0102-9Improved fruit fly algorithm on structural optimizationYancang Li0Muxuan Han1College of Water Conservancy and Hydroelectric Power, Hebei University of EngineeringCollege of Civil Engineering, Hebei University of EngineeringAbstract To improve the efficiency of the structural optimization design in truss calculation, an improved fruit fly optimization algorithm was proposed for truss structure optimization. The fruit fly optimization algorithm was a novel swarm intelligence algorithm. In the standard fruit fly optimization algorithm, it is difficult to solve the high-dimensional nonlinear optimization problem and easy to fall into the local optimum. To overcome the shortcomings of the basic fruit fly optimization algorithm, the immune algorithm self–non-self antigen recognition mechanism and the immune system learn–memory–forgetting knowledge processing mechanism were employed. The improved algorithm was introduced to the structural optimization. Optimization results and comparison with other algorithms show that the stability of improved fruit fly optimization algorithm is apparently improved and the efficiency is obviously remarkable. This study provides a more effective solution to structural optimization problems.http://link.springer.com/article/10.1186/s40708-020-0102-9Truss structure optimizationFruit fly algorithmImprovementImmune response |
| spellingShingle | Yancang Li Muxuan Han Improved fruit fly algorithm on structural optimization Brain Informatics Truss structure optimization Fruit fly algorithm Improvement Immune response |
| title | Improved fruit fly algorithm on structural optimization |
| title_full | Improved fruit fly algorithm on structural optimization |
| title_fullStr | Improved fruit fly algorithm on structural optimization |
| title_full_unstemmed | Improved fruit fly algorithm on structural optimization |
| title_short | Improved fruit fly algorithm on structural optimization |
| title_sort | improved fruit fly algorithm on structural optimization |
| topic | Truss structure optimization Fruit fly algorithm Improvement Immune response |
| url | http://link.springer.com/article/10.1186/s40708-020-0102-9 |
| work_keys_str_mv | AT yancangli improvedfruitflyalgorithmonstructuraloptimization AT muxuanhan improvedfruitflyalgorithmonstructuraloptimization |