A hierarchical iterative genetic algorithms for optimization of multi-layer parameters

被引：0
|
作者：
Tian, J [1 ]
Kou, JS [1 ]
Li, MQ [1 ]
机构：
[1] Tianjin Univ, Inst Syst Engn, Tianjin 300072, Peoples R China
来源：
FIFTH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND MANAGMENT SCIENCE: PROCEEDINGS OF IE & MS '98 | 1998年
关键词：
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The mathematical model for optimizing the plan of complete sets of equipment in mechanization construction of coal shafts is a mixed integer-nonlinear programming problem. Because it has many variables and more complicated parameter setting, we could hardly solve it using general methods. ln this paper, we design a new genetic approach - the hierarchical iterative genetic algorithm (HIGA) to solve it and get a satisfied solution.
引用
收藏
页码：329 / 333
页数：5
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