Ergonomic chair design by fusing qualitative and quantitative criteria using interactive genetic algorithms
Ergonomic chair design by fusing qualitative and quantitative criteria using interactive genetic algorithms
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DOI：
10.1109/tevc.2007.904343
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发表时间：
2008-06-01
影响因子：
14.3
通讯作者：
Tiwari, Ashutosh
中科院分区：
文献类型：
--
作者：
Brintrup, Alexandra Melike;Ramsden, Jeremy;Tiwari, Ashutosh
本文强调了形式上将人机工程设计的定性和定量标准结合在一起的必要性，并为此目的提供了一个新的补充设计框架。在该框架内，以不同的设计准则为优化目标，通过计算机和用户的共同努力，迭代地改进设计方案。该框架植根于多目标优化、遗传算法和交互式用户评估。基于该框架开发了三种不同的算法，并以人体工学座椅设计问题为例进行了测试。并行和多目标方法在适应度收敛、设计多样性和用户满意度度量方面显示出良好的结果。
This paper emphasizes the necessity of formally bringing qualitative and quantitative criteria of ergonomic design together, and provides a novel complementary design framework with this aim. Within this framework, different design criteria are viewed as optimization objectives, and design solutions are iteratively improved through the cooperative efforts of computer and user. The framework is rooted in multiobjective optimization, genetic algorithms, and interactive user evaluation. Three different algorithms based on the framework are developed, and tested with an ergonomic chair design problem. The parallel and multiobjective approaches show promising results in fitness convergence, design diversity, and user satisfaction metrics.