Study on the application and improvement of ant colony algorithm in terminal tour route planning under Android platform

Issue title: Special Section: Applications of intelligent & fuzzy theory in engineering technologies and applied science

Guest editors: Stanley Lima and Álvaro Rocha

Article type: Research Article

Authors: Mei, Yan^{; *}

Correspondence: [*] Corresponding author. Yan Mei, College of Tourism and Urban-Rural Planning, Chengdu University of Technology of China, 610059 China. E-mail: meiyancdut@163.com.

Abstract: The optimal path planning for tourist guides in tourist areas can effectively improve the utilization of tourism time. This paper studies and analyzes the application and improvement of ant colony algorithm in terminal tourism route planning under Android platform, and proposes an optimal tour guide path planning model based on ant colony algorithm. By giving the time constraint of tour guide path planning and the total length of tour guide path, we solve the objective function and complete the tour guide path planning for the best group in the tourist area. The experimental results show that the proposed model and the optimal path planning algorithm are more optimized.

Keywords: Android platform, tourism route planning, ant colony algorithm, optimal path planning

DOI: 10.3233/JIFS-169628

Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 2761-2768, 2018