Construction of Tourism Planning Information System Based on Ant Colony Algorithm

Abstract

Tourism planning is a vital link in tourism. Compared with the traditional tourism planning based on experience, it is more scientific and reasonable to formulate through mathematical modeling methods. This paper mainly studies the construction of tourism planning information system based on ant colony(AC) algorithm. In the solution process, for the problems with more attractions, you need to divide the area first, then solve each area separately, and then transform the result of the solution into the regional self-driving tour route planning, and finally form a self-driving tour route planning. The experiments in this article found that most of the area tour time is closer to 15 days, which reduces the number of outings in a year and effectively reduces the round-trip time. In this paper, the system construction of self-driving tour route planning problems and ideas for solving specific problems are suitable for route planning in scenic spots or scenic spots, and have certain reference value.