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

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.

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

作者: Xin Zhang Mianrong Yang

作者单位: Network Management Center Xinxiang University,Xinxiang,Henan Province,China Computer and Information College Xinxiang University,Xinxiang,Henan Province,China

会议类型: 国际会议

会议名称: the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT-2012)(2012年电机工程与信息技术国际会议)

会议地点: 沈阳

会议语种:英文

页码: 57-61

在线出版日期: 2012-09-26（万方平台首次上网日期，不代表论文的发表时间）