文献类型：会议论文

英文题名：The Research and Solutions to the Multi-constrained Concurrent Optimization Problem in Automatic Test Paper Tasks

作者：Zhang, Xin[1];Yang, Mianrong

通讯作者：Zhang, X[1]

机构：[1]Xinxiang Univ, Network Management Ctr, Xinxiang, Henan Province, Peoples R China; Xinxiang Univ, Comp & Informat Coll, Xinxiang, Henan Province, Peoples R China

第一机构：新乡学院计算机与信息工程学院

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：2nd International Conference on Electronic and Mechanical Engineering and Information Technology (EMEIT)

会议日期：2012

会议地点：Shenyang, PEOPLES R CHINA

语种：英文

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

摘要：The problem of the multi- constrained concurrent optimization is a difficult artificial intelligence one that exists widely in the real life and confuses humans for years. Such as: the operating frequency of planes and trains, the course arrangement in school and the test paper grouping etc. This paper adopts the improved genetic algorithm, takes the test paper grouping problem for example, and puts forward a solution to the multi-constrained concurrent optimization problem. Finally, the paper aims to confirm the feasibility of this program through the experimental data.