Tour Planning for Separate Individuals: Individual Tourists Mobile System

Tourism is one of the most valuable sources of income in many countries. Tourists are usually unfamiliar with the destination country and things are getting worse when they decide to travel individually. Travelling individually can get exciting when tourists are communicating with each other and share their sightseeing. Here we propose a mobile application to recommend similar tourists to each other for tour sharing and planning a tour based on the individual’s separate location. Tour path must have the minimum length and the maximum number of common paths. This problem can be defined as “Multiple Traveling Salesman Problem with Mutual Nodes”. A demographic recommender system is used to find similar tourists based on their nationality, education, age and interest. Also, Ant System (AS) algorithm is used to plan tour for individuals