A UAV path planning method based on the framework of multi-objective jellyfish search algorithm Article Swipe
Xia Wang
,
Yaning Feng
,
Jianing Tang
,
Zhongbin Dai
,
Wei Zhao
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-024-79323-0
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-024-79323-0
Multi-constraint UAV path planning problems can be viewed as many-objective optimization problems that can be solved by meta-heuristic algorithms with good self-organizing optimization capabilities. However, such algorithms mostly use random initializing methods, resulting in low-quality initial paths that reduce the efficiency of subsequent algorithmic searches. Moreover, as the number of objective functions increases, meta-heuristic algorithms face inadequate selection pressure and convergence capability, which lead to poor solution. In order to address these issues, this paper proposes a UAV path planning method based on the framework of multi-objective jellyfish search algorithm (UMOJS). Firstly, an initializing strategy based on Rapidly-exploring Random Trees (RRT) is proposed to achieve higher quality initial paths. Secondly, a jellyfish updating strategy guided by the class-optimal individual is designed to enhance the convergence ability of the algorithm. Furthermore, a set of predefined reference points is imported to obtain Pareto optimal solutions with better convergence and distribution in many-objective optimization problems. To evaluate the superiority of the proposed UMOJS algorithm, three different difficulties of simulated flight environments are constructed to verify its performance. The experimental results show that UMOJS is not only able to gain more UAV paths with shorter length, but also more evenly distributed Pareto optimal solutions compared to five meta-heuristic algorithms when the constraint conditions are satisfied.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-024-79323-0
- OA Status
- gold
- Cited By
- 11
- References
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- OpenAlex ID
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https://openalex.org/W4404347293Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1038/s41598-024-79323-0Digital Object Identifier
- Title
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A UAV path planning method based on the framework of multi-objective jellyfish search algorithmWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-11-14Full publication date if available
- Authors
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Xia Wang, Yaning Feng, Jianing Tang, Zhongbin Dai, Wei ZhaoList of authors in order
- Landing page
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https://doi.org/10.1038/s41598-024-79323-0Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://doi.org/10.1038/s41598-024-79323-0Direct OA link when available
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Jellyfish, Computer science, Path (computing), Algorithm, Artificial intelligence, Biology, Fishery, Computer networkTop concepts (fields/topics) attached by OpenAlex
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11Total citation count in OpenAlex
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2025: 11Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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