Test Paper based on genetic algorithm Policy Analysis and Improvement

被引：0

作者：

Yi, Gang ^{[1
,2
]}

Jin, Min ^{[1
]}

机构：

[1] Hunan Univ, Sch Software, Changsha, Hunan, Peoples R China

[2] Hunan Univ Chinese Med, Dept Comp, Changsha, Hunan, Peoples R China

来源：

2011 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION AND INDUSTRIAL APPLICATION (ICIA2011), VOL I | 2011年

关键词：

papermaking strategy; examination system; Generic Algorithm (GA); Fitness; Constraints;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Based on the test paper questions the paper summarizes the constraint conditions,and the analysis of mathematical models to explore the genetic algorithm based on the traditional strategy of an intelligent test,the traditional genetic algorithm for an intelligent test strategies to improve,modify the genetic algorithm coding, fitness function,mutation operator and other conditions change,Test Paper based on genetic algorithm to improve policy efficiency test paper,verify the test paper based on genetic algorithm strategy for improving advanced nature of the problem.

引用

页码：51 / 54

页数：4

共 8 条

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