The Application Research Of Genetic Algorithms On Group Test

Recently, Group test has been widely applied to the driver theory test, the qualifying examination, voting system and other areas . Along with the computer and network technology are developing rapidly, the examination pattern has also undergone a great change. The use of computerized testing system could significantly reduce examination cycle, reduce duplication and improve efficiency. Intelligent Test Paper is adopted to improve the quality of the papers and increase scientific and objective of the examination.Examinations are generally fallen into two categories: one is based on the classical test theory, the traditional measurement test; The other is adaptive test which is base on item test theory. The former is used to separate producing papers from testing, as then one paper is selected as online examination; the latter generates papers dynamically in accordance with the level of candidates.This paper describes the framework of group test platform and it gives a great detail in system functions, business functions and system design. It focus on research on the construction of test papers. It combines genetic algorithm theory to explore a suitable algorithm to solve the examination system of automatic construct test papers .In this paper, It gives a great detail in intelligent test paper forming based on genetic algorithm . It changes the bounded conditions into objective function, and gives details of chromosome coding, choice operator, mutation operator and crossover operator. And then the algorithm can meet the requirements of specific test.