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交互式遗传算法在室内布局设计中的应用
引用本文:梁邦,喻飞,唐博,吴泓润.交互式遗传算法在室内布局设计中的应用[J].计算机系统应用,2022,31(7):316-324.
作者姓名:梁邦  喻飞  唐博  吴泓润
作者单位:闽南师范大学 计算机学院, 漳州 363000;闽南师范大学 物理与信息工程学院, 漳州 363000
基金项目:国家自然科学基金(62106092); 福建省自然科学基金(2015J01270); 福建省高校重大教育教学改革研究项目(FBJG20180015)
摘    要:室内平面设计是在房地产开发商交付的毛坯房进行装修过程中首当其冲的步骤, 符合用户个性化需求的平面图设计是典型的隐性优化问题. 室内设计工程师与用户之间的沟通很难准确获取用户需求, 且成本极高. 基于最优法则理论, 通过交互式遗传算法中的人机交互模式, 用主观评价替代繁琐的适应值函数设计来解决上述挑战. 实验表明, 该算法能有效满足平面图设计过程中客户的个性化需求, 改进的交互式遗传算法将用户的主观评价引入到传统的设计流程, 让用户真正参与到设计工作中.

关 键 词:交互式算法  遗传算法  室内设计  空间布局
收稿时间:2021/10/16 0:00:00
修稿时间:2021/11/8 0:00:00

Application of Interactive Genetic Algorithm in Interior Layout Design
LIANG Bang,YU Fei,TANG Bo,WU Hong-Run.Application of Interactive Genetic Algorithm in Interior Layout Design[J].Computer Systems& Applications,2022,31(7):316-324.
Authors:LIANG Bang  YU Fei  TANG Bo  WU Hong-Run
Affiliation:School of Computer Science, Minnan Normal University, Zhangzhou 363000, China;School of Physics and Information Engineering, Minnan Normal University, Zhangzhou 363000, China
Abstract:Interior graphic design is the first step in the process of decorating a rough house delivered by a real estate developer, floor plan design that meets the individual needs of users is a typical implicit optimization problem. The communication between designer and users is difficult to accurately obtain user needs, and the cost is extremely high. Based on the theory of optimal rules, the human-computer interaction mode in the interactive genetic algorithm is used to replace the cumbersome fitness function design with subjective evaluation to solve the above challenges. Experiments show that the algorithm can effectively meet the personalized needs of customers in the process of floor plan design. The improved interactive genetic algorithm introduces the subjective evaluation of users into the traditional design process, so that users can really participate in the design work.
Keywords:interactive evolutionary algorithm  genetic algorithm  interior design  spatial distribution
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