| 康慧,杨随先,邓淑文,王波.产品操作界面元素布局多目标优化设计[J].包装工程,2020,41(8):149-153. |
| 产品操作界面元素布局多目标优化设计 |
| Multi-objective Optimization Design of Product Operation Interface Element Layout |
| 投稿时间：2020-01-23 修订日期：2020-04-20 |
| DOI：10.19554/j.cnki.1001-3563.2020.08.020 |
| 中文关键词: 界面布局 多目标优化设计 遗传算法 产品设计 |
| 英文关键词: interface layout multi-objective optimization design genetic algorithm product design |
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| 中文摘要: |
| 目的 针对产品设计中操作界面布局设计时存在的随意性、不确定性大等问题，使用多目标优化设计的方法，寻找界面元素的最优布置，以提升界面的使用舒适性和人机交互效率。方法 在分析了工效学准则和界面布局美度评价准则的基础上，确立了层次性、相关性、简洁性和舒适性四个界面布局基本原则，并依据原则构建了界面元素布局多目标优化数学模型，在此模型的基础上采用改进的遗传算法，建立基于遗传算法的界面元素布局多目标优化方法。结果 给出产品操作界面布局设计的基本原则，提出一种基于遗传算法的产品操作界面元素布局的多目标优化方法及流程。结论 提出的布局原则和优化方法能较好地协助设计师获得满足设计需求的布局方案，实例结果表明了理论模型的合理性与遗传算法对于界面元素布局多目标优化问题求解的有效性。 |
| 英文摘要: |
| The work aims to find the optimal layout of interface elements in the method of multi-objective optimization design, in order to boost the operating comfort and human-computer interaction efficiency of the interface, in view of the randomness and uncertainty in the operation interface layout design of the products. Four basic principles of interface layout were determined based on the criteria of ergonomics and aesthetics evaluation of interface layout, including gradation, correlation, conciseness and comfort. A multi-objective optimization mathematical model was established for the interface element layout according to the proposed principles. Based on this model, the improved genetic algorithm was applied to establish the multi-objective optimization method of interface element layout based on the genetic algorithm. The basic principles of layout design of product operation interface were presented to propose a multi-objective optimization method and process of element layout of product operation interface based on the genetic algorithm. The proposed layout principles and optimization method can better assist the designers in obtaining the layout solutions in line with the design requirements. The example results indicate the rationality of the theoretical model and the effectiveness of genetic algorithm in solving multi-objective optimization problem of interface element layout. |
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