兵工自动化2018，Vol.37Issue(5)：67-72,6.DOI:10.7690/bgzdh.2018.05.018
基于改进型遗传算法的复杂产品生产车间布局优化方法
Optimization Method on Complex Product Workshop Layout
Based on Improved Genetic Algorithm
李翌辉 1史亚斌 1胡进寿 1高智 1王小强2
作者信息
- 1. 中国西电集团公司西安西电电气研究院有限责任公司,西安 710075
- 2. 火箭军驻成都地区军事代表室,成都 610036
- 折叠
摘要
Abstract
In order to solve the problem of equipment layout in complex products workshop, the real-valued coding and evolutionary generation gap method are used to improve the genetic algorithm to solve the optimal layout of equipment. According to the production characteristics and process characteristics of the product, a mathematic model of the equipment layout is established by defining the optimization objectives and constraints. Taking a certain intelligent production line of aero-engine components to be built as an example, the method is validated by QUEST software. Experimental results show that the method has achieved better optimization results.关键词
车间布局/优化方法/复杂产品/改进型遗传算法Key words
workshop layout/optimization method/complex product/improved genetic algorithm分类
信息技术与安全科学引用本文复制引用
李翌辉,史亚斌,胡进寿,高智,王小强..基于改进型遗传算法的复杂产品生产车间布局优化方法[J].兵工自动化,2018,37(5):67-72,6.
