INDOOR SPACE LAYOUT DESIGN BASED ON DIFFERENTIAL EVOLUTION ALGORITHM

被引：0

作者：

Meng S. ^{[1
]}

机构：

[1] College of Art, Shangqiu University, Shangqiu

来源：

Scalable Computing | 2024年 / 25卷 / 04期

关键词：

Backtracking Strategy; Differential Evolution Algorithm; Interior Design; Reverse Learning Methods; Spatial Layout;

D O I：

10.12694/scpe.v25i4.2842

中图分类号：

学科分类号：

摘要：

To enhance the interactivity of spatial design, this study proposes an indoor spatial layout design method based on differential evolution algorithm, which combines backtracking strategy and reverse learning strategy to improve the interactive differential evolution algorithm. The experimental data demonstrated that the proposed method for indoor space layout design achieved an average user satisfaction of 81.7%, which increased by 16.8% compared with traditional interactive genetic algorithms. In addition, the improved human-computer interaction interface scored higher than 0.8 in terms of usability, reliability, customizability, and interactive feedback. This means that the improved interface can better meet user needs and provide a better user experience. This study shows that the indoor space layout design method ground on differential evolution algorithm and the improved human-computer interaction interface can significantly improve user satisfaction and user experience. This has brought more efficient and convenient solutions to the field of spatial design. © 2024 SCPE.

引用

页码：3074 / 3085

页数：11

共 21 条

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