@inproceedings{4256837a301548278c9ba75b03170b13,
title = "Optimization design and efficacy evaluation of crew cabin layout",
abstract = "The optimization design of special vehicle cabin layout is a non-deterministic Polynomial problem. The design experience of the past has not been able to meet the design requirements of the layout of modern special vehicle compartments. Through a number of typical compartments of the layout of the comparative analysis, we can see that there are many existing layout options to be optimized. Therefore, this paper proposes an optimization design method based on genetic algorithm. By setting the objective function and the constraint condition, an improved cabin layout scheme is obtained. And the operation domain and visual field of the operator were analyzed by three-dimensional human body simulation software, and the ergonomic evaluation of the cabin layout was carried out. The results of the study can provide some technical basis for the design of special vehicle compartments.",
keywords = "3D human model, Ergonomics evaluation, Genetic algorithm, Layout optimization",
author = "Fang Xie and Qun Wang and Sijuan Zheng and Li Li and Liang Ling and Zhongliang Wei and Xiaoru Wanyan and Xu Wu",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2018.; 17th International Conference on Man–Machine–Environment System Engineering, MMESE 2017 ; Conference date: 21-10-2017 Through 23-10-2017",
year = "2018",
doi = "10.1007/978-981-10-6232-2\_95",
language = "英语",
isbn = "9789811062315",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "803--813",
editor = "Shengzhao Long and Dhillon, \{Balbir S\}",
booktitle = "Man–Machine–Environment System Engineering - Proceedings of the 17th International Conference on MMESE",
address = "德国",
}