Intelligent Campus Network

With the rapid development of Internet technology, the network has been integrated into learning and life of people, Network of campus is one example of successful application. At the same time, network of campus has brought new ways of teaching management about universities, it provides development platform for college education, therefore, it is an important part in modern education and management. The development of the network of campus has entered into a higher education IT era. The application of IT technology in the field of education had entered a new phase and had important actual significance for the integration of teaching resources, the share of teaching resources and the improvement of teaching quality.Intelligent campus network use network technology for teaching and management, the network manage resources of school; The network manage teaching, student records management, optimize the management of teaching resources, student online examinations, examination arrangements, result inquiry and some other daily teaching activities. In this paper, test paper and the teaching resource optimization issues in the intelligent campus network mainly research objects. It is an important part of the intelligent of campus that test paper and teaching resource optimization Management, In daily teaching and teaching management, the intelligent campus network plays an important role. Many domestic and foreign research institutions, schools all study the network of campus.As test paper is various of questions that user require to select from question library.Teaching resources optimization problem take full advantage of teachers, students, classrooms, multimedia classrooms and other teaching resources according to the requirements of teaching to set the courses of each term, arrange a reasonable and efficient time schedule of teaching. Therefore, they are typical and more constrained problem with solving process, such problems can generally be obtained by using smart algorithms satisfactory solution.PSO is a class of general optimization algorithm, the local search for the specific problem is weak, its ability avoid poor local minimum. Therefore, this paper introduced simulated anneal algorithms based on PSO solving test paper problem and teaching resources optimization problem, adopted crossover variation operation improving the whole quality and efficiency. In particular, PSO evolutionary provides the initial solutions with a set of good quality and dispersion for the SA, SA mechanisms are used to search local areas for these solutions, which is the complement for PSO search and help to optimize solutions, and give the algorithm a probabilistic jumping ability, experimental results show that satisfactory results can be obtained. The main contents of this paper:analyzed particle swarm algorithm;the improved particle swarm algorithm;simulated annealing algorithm and genetic algorithm; mastered the basic principle and suitable scope; determined test paper and the target function of teaching resources optimization problem; proposed discrete particle swarm algorithm combining with simulated annealing algorithm; adopted the ideas of the crossover operation and variation operation in genetic algorithm sloving test paper problem and teaching resources optimization problem. In the same experiment data, the article analyses the genetic algorithm, discrete particle swarm optimization, and improvement of the hybrid algorithm algorithm to solve Test-Paper problem and teaching resources optimization problem and compare the obtained data. The experiments proved that the improved discrete particle swarm algorithm had certain advantages in solving combinatorial optimization problem.