Application of Genetic Algorithm to the Traditional Layout and Spatial Optimization Design of Suzhou Gardens

[1] Tian, L. (2022). Application of Chinese Classical Garden Landscaping Techniques in Modern Indoor Natural Landscape Design from the Perspective of Virtual Reality Technology. Advances in Multimedia. Search in Google Scholar

[2] Li, S., & Sun, Y. (2020). A novel numerical optimization algorithm inspired from garden balsam. Neural Computing and Applications, 32, 16783-16794. Search in Google Scholar

[3] Wang, Z., & Zhang, X. (2023, July). AI-Assisted Exploration of the Spirit of Place in Chinese Gardens from the Perspective of Spatial Sequences. In International Conference on Computer-Aided Architectural Design Futures (pp. 287-301). Cham: Springer Nature Switzerland. Search in Google Scholar

[4] Cai, C., Tang, P., & Li, B. (2019). INTELLIGENT GENERATION OF ARCHITECTURAL LAYOUT INHERITING SPATIAL FEATURES OF CHINESE GARDEN BASED ON PROTOTYPE AND MULTI-AGENT SYSTEM. INTELLIGENT & INFORMED, 15, 291. Search in Google Scholar

[5] Liu, Z. (2022). The Application of Genetic Algorithm in the Optimal Design of Landscape Space Environment. Mathematical Problems in Engineering, 2022(1), 8768974. Search in Google Scholar

[6] Xu, P., & Wei, C. (2022). Modularized Information Fusion Design of Urban Garden Landscape in Big Data Background. Mathematical Problems in Engineering, 2022(1), 5377872. Search in Google Scholar

[7] Li, S., & Fan, Z. (2022). Evaluation of urban green space landscape planning scheme based on PSO-BP neural network model. Alexandria Engineering Journal, 61(9), 7141-7153. Search in Google Scholar

[8] Luo, G., Guo, Y., Wang, L., Li, N., & Zou, Y. (2021). Application of computer simulation and high-precision visual matching technology in green city garden landscape design. Environmental Technology & Innovation, 24, 101801. Search in Google Scholar

[9] Cai, C. H. E. N. Y. I., Tang, P. E. N. G., & Li, B. I. A. O. (2019). Inheriting Spatial Features of Chinese Garden Based on Prototype and Multi-Agent System. In CAADRIA 2019 24th Int Conf Assoc Computational Arch Des Res Asia (pp. 291-300). Search in Google Scholar

[10] Yan, L., Chen, Y., Zheng, L., Zhang, Y., Liang, X., & Zhu, C. (2023). Intelligent Generation Method and Sustainable Application of Road Systems in Urban Green Spaces: Taking Jiangnan Gardens as an Example. International Journal of Environmental Research and Public Health, 20(4), 3158. Search in Google Scholar

[11] Ling, T., & Ma, Y. (2022). Computer 3D Scene Simulation of Ecological Landscape Layout Planning. Advances in Multimedia. Search in Google Scholar

[12] Ou, W. (2022, April). Interactive garden landscape digital reconstruction system based on Particle Swarm Algorithm. In International Conference on Multi-modal Information Analytics (pp. 440-447). Cham: Springer International Publishing. Search in Google Scholar

[13] Li, Z., Cheng, Y. N., Song, S., & He, Y. K. (2019). Research on the space cognitive model of new Chinese style landscape based on the operator optimization genetic algorithm. Fresenius Environmental Bulletin, 28(6), 4483-4491. Search in Google Scholar

[14] Liu, L. (2022). Designing Landscape of Urban Gardening Based on Optimized Artificial Intelligence Model. Journal of Function Spaces, 2022. Search in Google Scholar

[15] Song, Z., Guo, J., & Wang, Y. (2023, November). Optimization Design of Landscape Spatial Environment Based on Interactive Genetic Algorithm. In 2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE) (pp. 1-5). IEEE. Search in Google Scholar

[16] Chen, M. (2020, October). Research on landscape Spatial Structure Optimization of Garden sculpture based on improved Particle Swarm Optimization algorithm. In IOP Conference Series: Earth and Environmental Science (Vol. 580, No. 1, p. 012009). IOP Publishing. Search in Google Scholar

[17] Chen, M., & Wen, R. (2022, November). Optimal Design of Garden Landscape Space Environment Based on Interactive Genetic Algorithm. In International conference on Advances in Materials and Manufacturing (pp. 419-427). Singapore: Springer Nature Singapore. Search in Google Scholar

[18] Youwei Huang & Xin Zhang. (2024). Research on Space Optimization Design of High-rise Residential Building Based on Genetic Algorithm. Applied Mathematics and Nonlinear Sciences(1). Search in Google Scholar

[19] Zhang Liangyue,Shen Xiaoyan,Han Ya,Sun Jie & Li Dongsheng. (2015). A new population initialization method of genetic algorithm applied in FBG inhomogeneous strain demodulation. China Jiliang Univ. (China); Nanjing Univ. (China); Cornell Univ. (United States); Univ. of Michigan (United States); Univ. of California, Irvine (United States)96200Z-96200Z-9. Search in Google Scholar

[20] Mendoza Flores Shair,Velázquez Villegas Fernando & Cuenca Jiménez Francisco. (2024). Optimization of a Horizontal Washing Machine Suspension System: Studying a 7 DOF Dynamic Model Using a Genetic Algorithm Through a Bounding Box Fitness Function. Journal of Vibration Engineering & Technologies(4),6865-6884. Search in Google Scholar

[21] Pretorius Kyle & Pillay Nelishia. (2024). Neural network crossover in genetic algorithms using genetic programming. Genetic Programming and Evolvable Machines(1). Search in Google Scholar

[22] Ming Chen,Ping Qi,Yangyang Chu,Bo Wang,Fucheng Wang & Jie Cao. (2024). Genetic algorithm with skew mutation for heterogeneous resource-aware task offloading in edge-cloud computing. Heliyon(12), e32399-. Search in Google Scholar