用户决策驱动的乘用车舱改进PSO布局优化模型

摘要/Abstract

摘要：

基于用户决策模型确定了车舱待布物的优化顺序，通过已优化待布物的定位确定尚未优化的待布物的定位，同时将PSO引入乘用车舱的三维布局分析。为避免陷入局部最优，采用自适应惯性权重系数对PSO进行了改进，提出了针对不同类型用户决策调整布局的优化新方法。利用JACK对不同优化方案和原方案进行了对比分析，验证了在用户决策驱动下，采用改进PSO进行布局优化的方式最符合人机工程学原理，可有效解决乘用车舱布局优化问题。

关键词: 乘用车, 布局优化, 用户决策, 粒子群优化, 人机工程

Abstract:

Based on the users' decision making, groups and sequences of facilities position optimization were determined approximately, and facilities optimized determine positions of which were not optimized. The PSO was adapted to develop a new method of saloon cabin layout optimization in 3D. To avoid obtaining partial optimal solutions, an improved PSO by adaptive inertia weight was used and the new method of layout optimization which might be adjusted according to different users' needs was proposed. The different optimized solutions were analyzed and compared to the original one by JACK, the results show the optimization method of the improved PSO is the best one and consistent with ergonomic principles. The method can solve the saloon cabin layout optimization problems effectively.

Key words: saloon cabin, layout optimization, users decision making, particle swarm optimization(PSO), man-machine engineering

中图分类号:

TP391.7

刘昕, 余隋怀, 王淑侠, 李文华, 曲敏, 王淼. 用户决策驱动的乘用车舱改进PSO布局优化模型[J]. 中国机械工程, 2016, 27(01): 114-121.

Liu Xin, Yu Suihuai, Wang Shuxia, Li Wenhua, Qu Min, Wang Miao. Improved PSO Layout Optimization Model for Saloon Cabin Driven by Users Decision Making[J]. China Mechanical Engineering, 2016, 27(01): 114-121.

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http://www.cmemo.org.cn/CN/Y2016/V27/I01/114

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