文献类型：会议论文

英文题名：RESEARCH AND APPLICATION OF GENETIC ALGORITHMS ON TEST PAPER STRATEGY

作者：Zhang Xin[1];Yang Mianrong

第一作者：张鑫

通讯作者：Zhang, X[1]

机构：[1]Xinxiang Univ, Network Management Ctr, Xinxiang, Henan Province, Peoples R China

第一机构：新乡学院

通讯机构：[1]corresponding author), Xinxiang Univ, Network Management Ctr, Xinxiang, Henan Province, Peoples R China.|[11071]新乡学院;

会议论文集：3rd International Symposium on Information Engineering and Electronic Commerce (IEEC 2011)

会议日期：JUL 22-24, 2011

会议地点：Huangshi, PEOPLES R CHINA

语种：英文

外文关键词：Test Group Papers; Genetic Algorithm; Multi-Constraint Solving

摘要：The Test Paper strategy is an artificial intelligence problem that has plagued people for many years, it is a typical optimization problem with multiple constraints. The goal of the computer intelligence test paper is to set the optimal papers based on the parameters required by the users. Due to the characters of genetic algorithm, such as its global genetic algorithm search, random, better encoding and a high degree of parallelism, it is very conducive to solve thus problems. So based on the algorithm, this article focuses on the design of the test paper's chromosome coding, fitness function and genetic operators. Through the experiment, the design approaches turn out to be practical and effective.