Research on Oriental Artistic Conception of Architectural Space of Suzhou Garden Ecology Based on Interactive Genetic Algorithm
Ancient Chinese gardening has a long history, and the culture contained in it is extensive and profound. If it is analyzed with today’s spatial characteristics, it still conforms to the norms of scale, proportion, perspective relationship, spatial sequence, etc., so it is well-deserved as a classic. Suzhou gardens enjoy a good reputation in the history of gardens in the world. They have the artistic characteristics and culture of typical oriental gardens. Suzhou gardens have unique poetic and picturesque meanings. They are unique and beautiful humanistic landscapes among gardens in the world. The world cultural heritage with scientific value has far-reaching significance for contemporary Chinese architectural practice. Although many gardening theories in ancient China are different from today’s design methods, we can still find common ground by analyzing and comparing classical gardens according to the rules of scale, proportion, perspective relationship, and spatial sequence in modern design. Therefore, this paper will take Suzhou classical gardens as the research object, and construct a garden architectural space optimization model based on interactive genetic algorithm, and use quantitative means to find the rules of spatial scale and the oriental artistic conception in the garden architectural space. The information fusion model is used to quantify the garden landscape, in order to enhance the intuitive perception to a rational level, so that the means and methods of creating a comfortable and beautiful space in Suzhou classical gardens in the past can be continued in today’s garden design.
Authors
- Zhenli Xu
- Yixin Lyu
- Wei Wang (ORCID: https://orcid.org/0000-0002-3864-4931)
Institutions
- Xingtai University (CN)
Publication Details
- Journal
- International Journal of High Speed Electronics and Systems
- Published
- 2024-11-18
- DOI
- https://doi.org/10.1142/s0129156425400798
- Citations
- 1
- Primary Topic
- Digital Media and Visual Art
- Type
- article
- Field-Weighted Citation Impact
- 0.63