基于NSGA -Ⅱ算法的景观陶瓷雕塑总体布局规划模型

IF 0.9 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Henan Feng, Liqun Zheng, Shuang Qiao
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引用次数: 2

摘要

目前景观陶瓷雕塑整体布局规划模型矩阵一般是单向的,规划效率低,导致模型布局优化比例下降。因此,提出了基于非支配排序遗传算法(NSGA - II)的景观陶瓷雕塑总体布局规划模型的设计与验证分析。根据实际规划需要和标准,首先设定基本布局点,多层次建立交叉规划矩阵,提高雕塑整体布局规划效率。在此基础上构建了NSGA - II计算景观陶瓷雕塑布局规划结构,通过层次转换实现模型设计。与其他传统模型相比,具有电平转换的新型NSGA-II具有更好的布局规划性能。最终测试结果表明,通过三个阶段的布局优化处理,与初始规划布局相比,广场雕塑设置的最优布局优化比例可达到60%以上,表明借助该方法,雕塑的布局规划得到了进一步的完善,空间得到了拓展,具有实际应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
General Layout Planning Model of Landscape Ceramic Sculpture Based on NSGA - Ⅱ Algorithm
The current overall layout planning model matrix of landscape ceramic sculpture is generally unidirectional, and the planning efficiency is low, resulting in a decline in the layout optimization ratio of the model. Therefore, the design and verification analysis of landscape ceramic sculpture’s overall layout planning model based on the Nondominated Sorting Genetic Algorithm (NSGA - II) algorithm is proposed. According to the actual planning needs and standards, first set the basic layout points, establish a cross-planning matrix in a multi-level manner, and improve the efficiency of the overall layout planning of the sculpture. The NSGA - II calculation landscape ceramic sculpture layout planning structure is constructed on this basis, and the model design is realized by level conversion. This novel NSGA-II with level conversion performs better layout planning when compared with other conventional models. The final test results show that through three stages of layout optimization processing, compared with the initial planning layout, the optimal layout optimization ratio for the setting of the plaza sculpture can reach more than 60%, indicating that with the help of this method, the layout planning of sculpture has been further improved, the space has been expanded, and has practical application value.
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来源期刊
Scalable Computing-Practice and Experience
Scalable Computing-Practice and Experience COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
2.00
自引率
0.00%
发文量
10
期刊介绍: The area of scalable computing has matured and reached a point where new issues and trends require a professional forum. SCPE will provide this avenue by publishing original refereed papers that address the present as well as the future of parallel and distributed computing. The journal will focus on algorithm development, implementation and execution on real-world parallel architectures, and application of parallel and distributed computing to the solution of real-life problems.
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