Research on three-dimensional path planning of unmanned aerial vehicle based on improved Whale Optimization Algorithm.
Addressing the insufficient optimization performance in drone 3D path planning and the issues of inadequate optimization precision and tendency to fall into local optima in the existing Whale Optimization Algorithm (WOA), this paper proposes a drone 3D path planning method based on an improved Whale...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0316836 |
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| _version_ | 1849313151864012800 |
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| author | HaoCheng Wang ZeXian Hao Yu Zhang |
| author_facet | HaoCheng Wang ZeXian Hao Yu Zhang |
| author_sort | HaoCheng Wang |
| collection | DOAJ |
| description | Addressing the insufficient optimization performance in drone 3D path planning and the issues of inadequate optimization precision and tendency to fall into local optima in the existing Whale Optimization Algorithm (WOA), this paper proposes a drone 3D path planning method based on an improved Whale Optimization Algorithm (CSRD-WOA). Firstly, to enhance the search efficiency and fitness accuracy of the Whale Algorithm, the Cuckoo Search and Random Differential Strategy were introduced and compared with the traditional Particle Swarm Optimization algorithm, Whale Algorithm, and Cuckoo Search Algorithm. Experimental results demonstrate that the CSRD-WOA algorithm improves global search capabilities and prevents premature convergence, significantly enhancing optimization precision and convergence speed. Secondly, applying the CSRD-WOA algorithm to drone 3D path planning issues, the simulation results show that the CSRD-WOA algorithm can effectively manage path planning in complex terrains, showcasing its application potential in drone path planning. |
| format | Article |
| id | doaj-art-ce0430956f4342b6a5debf0c783b68fd |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-ce0430956f4342b6a5debf0c783b68fd2025-08-20T03:52:51ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01202e031683610.1371/journal.pone.0316836Research on three-dimensional path planning of unmanned aerial vehicle based on improved Whale Optimization Algorithm.HaoCheng WangZeXian HaoYu ZhangAddressing the insufficient optimization performance in drone 3D path planning and the issues of inadequate optimization precision and tendency to fall into local optima in the existing Whale Optimization Algorithm (WOA), this paper proposes a drone 3D path planning method based on an improved Whale Optimization Algorithm (CSRD-WOA). Firstly, to enhance the search efficiency and fitness accuracy of the Whale Algorithm, the Cuckoo Search and Random Differential Strategy were introduced and compared with the traditional Particle Swarm Optimization algorithm, Whale Algorithm, and Cuckoo Search Algorithm. Experimental results demonstrate that the CSRD-WOA algorithm improves global search capabilities and prevents premature convergence, significantly enhancing optimization precision and convergence speed. Secondly, applying the CSRD-WOA algorithm to drone 3D path planning issues, the simulation results show that the CSRD-WOA algorithm can effectively manage path planning in complex terrains, showcasing its application potential in drone path planning.https://doi.org/10.1371/journal.pone.0316836 |
| spellingShingle | HaoCheng Wang ZeXian Hao Yu Zhang Research on three-dimensional path planning of unmanned aerial vehicle based on improved Whale Optimization Algorithm. PLoS ONE |
| title | Research on three-dimensional path planning of unmanned aerial vehicle based on improved Whale Optimization Algorithm. |
| title_full | Research on three-dimensional path planning of unmanned aerial vehicle based on improved Whale Optimization Algorithm. |
| title_fullStr | Research on three-dimensional path planning of unmanned aerial vehicle based on improved Whale Optimization Algorithm. |
| title_full_unstemmed | Research on three-dimensional path planning of unmanned aerial vehicle based on improved Whale Optimization Algorithm. |
| title_short | Research on three-dimensional path planning of unmanned aerial vehicle based on improved Whale Optimization Algorithm. |
| title_sort | research on three dimensional path planning of unmanned aerial vehicle based on improved whale optimization algorithm |
| url | https://doi.org/10.1371/journal.pone.0316836 |
| work_keys_str_mv | AT haochengwang researchonthreedimensionalpathplanningofunmannedaerialvehiclebasedonimprovedwhaleoptimizationalgorithm AT zexianhao researchonthreedimensionalpathplanningofunmannedaerialvehiclebasedonimprovedwhaleoptimizationalgorithm AT yuzhang researchonthreedimensionalpathplanningofunmannedaerialvehiclebasedonimprovedwhaleoptimizationalgorithm |