A Genetic Algorithm Based Approach for Campus Equipment Management System in Cloud Server

In this paper, we proposed a campus equipment ubiquitous-management system which is based on a genetic algorithm approach in cloud server. The system uses radio frequency identification (RFID) to monitor the status of equipment in real time, and uses wire or wireless network to send real-time situation to display on manager’s PC or PDA. In addition, the system will also synchronize with database to record and reserve message. Furthermore, the status will display not only to a single manager but also a number of managers. In order to increase efficiency between graphical user interface (GUI) and database, the system adopts SqlDependency object of ADO.NET so that any changed situation of the database could be known immediately and synchronized with manager’s PC or PDA. Because the problem of the equipment utilization is an NP-complete (non-deterministic polynomial) problem, we apply genetic algorithm to enhance the efficiency of finding optimum solution for equipment utilization. We assign constraints into the system, and the system will post back the optimum solution simultaneously on the screen. As a consequence, we compare our genetic algorithm based approach (GA) with the simulated annealing based approach (SA) for maximizing the equipment utilization. Experimental result shows that our GA approach achieves an average 79.66% improvement in equipment utilization in an acceptable run time.