Construction of Mobile Terminal University Laboratory Management System Based on Ant Colony Algorithm

Abstract

With the transition from higher education to mass education, the number of graduates has increased dramatically, and the employment problem has become the focus of society. A large number of graduates leave a huge amount of data for colleges and universities. How to use these data to provide scientific management basis for college administrators has become an urgent problem to be solved. The development of computer technology makes it possible to solve this problem. Firstly, based on the research on the basic idea, principle, process and application scope of ant colony algorithm under swarm intelligence framework, this paper makes in-depth research on several well-known improved versions of ant colony algorithm, which provides the basis and reference for the research work of the core theoretical part and practical engineering application part of the paper. The laboratory is an important practice place for colleges and universities to cultivate high-quality talents meeting the needs of society. Experimental facilities are an important factor for the comprehensive evaluation of private colleges and universities. They are not only the places where colleges and universities carry out basic subject education for students, but also the important places for each school to carry out scientific research projects. Effective use of the laboratory can expand students’ practical ability and spread students’ thinking. The continuous advancement of information technology and the continuous exploration of scientific research and innovation projects need the support of modern computer technology. A new simulated evolutionary algorithm proposed by ant colony algorithm can meet the needs of school educational activities and improve the utilization rate of school teaching resources.