Constrained Optimization of Resource Allocation in Colleges

被引：0

作者：

Ye, Mengdie ^{[1
]}

机构：

[1] Sch North China Elect Power Univ Baoding, Baoding 071000, Peoples R China

来源：

PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON MECHANICAL, ELECTRONIC, CONTROL AND AUTOMATION ENGINEERING (MECAE 2017) | 2017年 / 61卷

关键词：

Constrained Optimization; Resource Allocation; Genetic Algorithms;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this thesis, the resource allocation model based on Immune Clone Algorithms, highly conforming to reality, brings various complicated factors in actual course arrangement into model computing. The solution shows that the model can effectively arrange courses in colleges and universities, which deserves popularization and application.

引用

页码：454 / 456

页数：3