First, the basic information
Title: "Design and Implementation of Intelligent Grouping System"
Time: 2017
Source: University of Electronic Science and Technology
Keywords: intelligent test paper, hybrid particle swarm optimization, operator, objective function
Second, research
Problem Definition: Intelligent Grouping System is science test paper questions by computer technology and intelligent algorithm. The use of Intelligent Grouping System may reduce teacher workload proposition test paper, test paper at the same time compared to other ways, using the test paper system uses intelligent search, match strategy to maximize generate questions papers proposition to meet the teacher requirements, to achieve the candidates scientific assessments while ensuring the fairness of the test.
Intelligent Test Paper is essentially a problem multiobjective parameters satisfy certain constraint optimization problem, such as the commonly used random algorithm Algorithmic, ant algorithms, genetic algorithms and other algorithms, having a lower quality paper without generating a high success rate shortcomings.
Third, the flow chart
IV Summary
Since the test paper problem is an optimization problem consisting of a number of constraints, but the complexity of its constraints, the use of traditional mathematical methods to solve difficult to obtain satisfactory results, so as intelligent algorithm is applied to practical problems, intelligent Test Paper strategies have been promoted.