Optimization Based On Ant Colony Algorithm For Laboratory Reservation

Laboratory is an important part of the hardware facilities in Colleges and universities,and is the important base of institutions of higher learning to implement quality education,training the innovation spirit and the practice ability of students,the experimental equipment is one of the basic conditions to run in a excellent college.With the development of science and technology and the advance of innovation in colleges,the laboratory construction in Colleges and universities of our country entered a new stage at present,but with the continuous expansion of the space and equipment,laboratory management has become more arduous and complicated,the use of the laboratory and the management of assets brought huge pressure and intensity of work to management.If using the previous manual management methods,the lack of management will not only be unable to avoid,but also make the resource difficult to use and resulting in waste.So how to use modern computer information technology,and how to do the scientific informatizaion management to laboratories in Colleges and universities and improve the work efficiency and the management level have become one of the important issues which need to be solved urgently in the university laboratory management workers.Ant colony algorithm is a new type simulated evolutionary algorithm which was proposed in recent years.The evolutionary process of the candidate solution is to search for the optimal solution.This process includes the adaptation phase and the collaboration phase.In the adaptation phase,each candidate solution is constantly adjusting its structure according to the accumulated information.In the collaboration stage,the candidate solutions are better to produce the better performance through the information exchange between the candidate solutions.This paper will be based on ant colony algorithm and combined with the status of laboratory management to design a set of laboratory management software.