| 摘要: |
| 目的 探讨交互式进化设计(IED)中设计师思维固化现象的发生和成因，并提出改进策略。方法 首先，解构IED中设计师思维固化现象，阐明人的视觉搜索机制和IED算法机制对交互式进化过程中设计师思维固化的影响，对应提出“信息刺激”“增大种群数量”及“增大变异概率”策略;其次，基于豪斯多夫距离算法，提出产品形态交互式进化设计中思维固化的量化方法，以中式花瓶轮廓为例，在MATLAB软件平台下开发了产品形态交互式进化设计系统;最后设计对比实验进行验证。结果 实验结果表明所提策略在缓解交互式进化过程中设计师的思维固化具有显著性。结论 提出的改进策略有助于提高交互式进化设计方案输出的创新性，为交互式进化设计中设计师认知特征提供新的研究视角。 |
| 关键词: 交互式进化设计 人机协同 思维固化 交互式遗传算法 智能设计 |
| DOI：10.19554/j.cnki.1001-3563.2023.14.005 |
| 分类号:TB472 |
| 基金项目:2021年广东省省级质量工程现代产业学院项目;2020年度广东省教育科学“十三五”规划项目(2020GXJK192);2017年广东省非物质文化遗产数字化保护工程技术研究中心资助项目;2022 年度广东省科技创新战略专项(大学生科技创新培育)项目(phjd2022A0248) |
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| Solution to Resolve the Thinking Fixation in Interactive Evolutionary Design |
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ZHOU Zhuan1, HE Mao-en2, YAO You-sheng1
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(1.Zhongkai University of Agriculture and Engineering, Guangzhou 510000, China;2.Tongji University, Shanghai 200092, China)
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| Abstract: |
| The work aims to discuss the thinking fixation of designers in interactive evolutionary design (IED) and its causes. First, the phenomenon of designers' thinking fixation in IED was deconstructed, and the influence of human visual search mechanism and IGA algorithm mechanism on designers' thinking fixation in interactive evolution was also clarified. Strategies such as "visual stimulation strategy", "increase sample size strategy" and "increase mutation probability" were also proposed accordingly. Then, based on the Hausdorff distance algorithm, a quantitative method of thinking fixation in the interactive evolutionary design of product form was proposed; then, with the outline of a Chinese vase as an example, an interactive evolutionary system of product shape was developed under the MATLAB software platform. Finally, a comparative experiment was designed to verify it. The experimental results showed the effectiveness of the proposed strategy in alleviating the fixation of designers' thinking in interactive evolution.The proposed improvement strategy can help to improve the innovation of the design output of interactive evolutionary systems, and provide a new research perspective for cognitive characteristics of designers in interactive evolutionary design. |
| Key words: interactive evolutionary design human-machine collaboration thinking fixation interactive genetic algorithm intelligent design |
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