Periodical
Research on Landscape Design Optimization and Spatial Layout Planning Method Based on AI Algorithm.
| Τίτλος: | Research on Landscape Design Optimization and Spatial Layout Planning Method Based on AI Algorithm. |
|---|---|
| Συγγραφείς: | Huang, Yihong, Liang, Xuan |
| Πηγή: | Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127b, p7019-7036, 18p |
| Θεματικοί όροι: | Landscape design, Spatial arrangement, Sustainable development, Mathematical optimization, Machine learning, Heuristic |
| Περίληψη: | Traditional landscape design methods have low efficiency, poor subjectivity and insufficient goal optimization. This paper proposes a landscape design optimization and spatial layout method based on artificial intelligence (AI) algorithms to achieve scientific and efficient landscape design through the combination of collected information data and algorithms. The optimization design of landscape facility paths and spatial dimensions is carried out by adopting a heuristic polygonal layout algorithm, establishing a data model based on the database and scene templates, and combining the landscapes in the polygonal space after landscape matching. The optimal sequence of the landscape is obtained by using the scoring function, and then combined with the particle swarm algorithm to realize the optimization of the landscape layout. The Hypervolume index is stable to about 0.815 in 30 generations, which has a good quality of Pareto optimal solution set. In this paper, the algorithm formulates three groups of landscape design optimization and spatial layout planning schemes for different situations, making full use of the land that is utilized for a certain place. The implementation of the sustainable development scenarios improves the local environmental and social benefits significantly, and the average annual growth rate of employment in related industries reaches 3.16%. Satisfaction survey results show that local residents are most satisfied with the green environment and cultural atmosphere after the implementation of the program, respectively 80.03, 79.35, through the smart management to improve the local environmental quality and cultural atmosphere. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Combinatorial Mathematics & Combinatorial Computing is the property of Combinatorial Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edb DbLabel: Complementary Index An: 189348258 RelevancyScore: 1026 AccessLevel: 6 PubType: Periodical PubTypeId: serialPeriodical PreciseRelevancyScore: 1025.81286621094 |
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| Items | – Name: Title Label: Title Group: Ti Data: Research on Landscape Design Optimization and Spatial Layout Planning Method Based on AI Algorithm. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Huang%2C+Yihong%22">Huang, Yihong</searchLink><br /><searchLink fieldCode="AR" term="%22Liang%2C+Xuan%22">Liang, Xuan</searchLink> – Name: TitleSource Label: Source Group: Src Data: Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127b, p7019-7036, 18p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Landscape+design%22">Landscape design</searchLink><br /><searchLink fieldCode="DE" term="%22Spatial+arrangement%22">Spatial arrangement</searchLink><br /><searchLink fieldCode="DE" term="%22Sustainable+development%22">Sustainable development</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Heuristic%22">Heuristic</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Traditional landscape design methods have low efficiency, poor subjectivity and insufficient goal optimization. This paper proposes a landscape design optimization and spatial layout method based on artificial intelligence (AI) algorithms to achieve scientific and efficient landscape design through the combination of collected information data and algorithms. The optimization design of landscape facility paths and spatial dimensions is carried out by adopting a heuristic polygonal layout algorithm, establishing a data model based on the database and scene templates, and combining the landscapes in the polygonal space after landscape matching. The optimal sequence of the landscape is obtained by using the scoring function, and then combined with the particle swarm algorithm to realize the optimization of the landscape layout. The Hypervolume index is stable to about 0.815 in 30 generations, which has a good quality of Pareto optimal solution set. In this paper, the algorithm formulates three groups of landscape design optimization and spatial layout planning schemes for different situations, making full use of the land that is utilized for a certain place. The implementation of the sustainable development scenarios improves the local environmental and social benefits significantly, and the average annual growth rate of employment in related industries reaches 3.16%. Satisfaction survey results show that local residents are most satisfied with the green environment and cultural atmosphere after the implementation of the program, respectively 80.03, 79.35, through the smart management to improve the local environmental quality and cultural atmosphere. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Journal of Combinatorial Mathematics & Combinatorial Computing is the property of Combinatorial Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.61091/jcmcc127b-383 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 7019 Subjects: – SubjectFull: Landscape design Type: general – SubjectFull: Spatial arrangement Type: general – SubjectFull: Sustainable development Type: general – SubjectFull: Mathematical optimization Type: general – SubjectFull: Machine learning Type: general – SubjectFull: Heuristic Type: general Titles: – TitleFull: Research on Landscape Design Optimization and Spatial Layout Planning Method Based on AI Algorithm. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Huang, Yihong – PersonEntity: Name: NameFull: Liang, Xuan IsPartOfRelationships: – BibEntity: Dates: – D: 10 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 08353026 Numbering: – Type: volume Value: 127b Titles: – TitleFull: Journal of Combinatorial Mathematics & Combinatorial Computing Type: main |
| ResultId | 1 |