设计2025，Vol.38Issue(17)：22-26,5.
AIGC与交互式遗传算法协同下的儿童游乐设施CMF设计研究
RESEARCH ON CMF DESIGN OF CHILDREN'S AMUSEMENT FACILITIES BASED ON AIGC AND INTERACTIVE GENETIC ALGORITHM
摘要
Abstract
Children's amusement facilities are important activity spaces during children's growth stage,and their CMF design affects children's behavior patterns,sensory experiences and aesthetic enlightenment.This paper aims to optimize the CMF design of children's amusement facilities by combining AIGC with interactive genetic algorithms,to improve the design efficiency and solution quality of AIGC applied to public facilities.The study proposed a collaborative design framework of AIGC and interactive genetic algorithm,which quickly generated conceptual solutions through the AIGC tool,combined with the hierarchical analysis method to quantify multi-dimensional evaluation weights to drive parameter optimization,and completed multi-objective decision verification based on fuzzy comprehensive evaluation,forming a"generate-optimize-adapt"design process.Through the practice of intelligent generation of CMF design solutions for children's amusement facilities,it is verified that the algorithm-driven design paradigm has feasibility and application potential.The collaborative design mechanism of AIGC and interactive genetic algorithm provides theoretical support for the digital decision-making of CMF for children's amusement facilities,and its standardized process provides ideas for the innovative application of AIGC in the field of design.关键词
生成式人工智能/交互式遗传算法/儿童游乐设施/层次分析法/模糊综合评价/CMF设计Key words
Artificial Intelligence Generated Content(AIGC)/Interactive genetic algorithm/Children's amusement facilities/Analytic hierarchy process/Fuzzy comprehensive evaluation/CMF design分类
通用工业技术引用本文复制引用
刘杰成,尹仕琪..AIGC与交互式遗传算法协同下的儿童游乐设施CMF设计研究[J].设计,2025,38(17):22-26,5.基金项目
中央高校基本科研业务费资助(104972025YJS0161) （104972025YJS0161）
