EFFICIENT MEET LOCATION FINDER
Keywords:
GPS, genetic algorithms, multicriteria decision making, multiobjective optimization, Pareto-optimal solutions, NSGA-II.Abstract
Now a day’s use of smart phones has increased on a large scale for planning purpose. These mobile devices
contain many applications to provide service to users. Similarly, this application provides a planning tool for
determining the optimal meeting location which is highly desirable. In this application we are using GPS (Global
Positioning System) to find efficient location for meeting. To find efficient location each user’s GPS location is
considered and then notification will be sent about meeting information to all users who are going to attend the meeting.
We used a fast and elitist multi objective Non-dominated Sorting Genetic Algorithm (NSGA II) for selecting location
which is convenient for all users. The proposed NSGA-II is able to find much better spread of solutions and better
convergence in most problems.
