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

页码：329 / 333

页数：5