Developing an Android-Based City Tour App using Evolutionary Algorithm

Abstract

Traveling around a city and making transit in certain areas is called a city tour. Furthermore, determining the optimal city tour route can be considered as a traveling salesman problem. There are many kinds of algorithms to solve this, one of which is the Genetic Algorithm (GA). In developing the City Tour application, a platform is needed to be taken to various places anywhere and anytime. Finally, we developed an application that runs on mobile devices. This application is built on the Android platform so that its use can be more efficient. Furthermore, it can be concluded that the GA applied to the Android-based City Tour Application is reliable to determine city tour routes; this is evidenced by comparing GA with the brute force method, where GA provides optimum results with less running time.

Mobile Travel Apps Engagement: Measuring Tourists’ Perception

“…Moreover, limited studies have been done in the area of mobile travel apps [4,10]. Past scholars such as Izzah et al [11] researched an android-based city tour app, Ali et al [12] studied mobile apps for digitisation facilities management, and Ayyal Awwad [13] examined mobile location services. Indeed, Scopus database evidence that De Reuver et al [14], Fang et al [15], Ho et al [16], Tian et al [17], and Wu and Lee [18], were the leading scholars on mobile travel apps.…”