The optimization of tourists shunt based on genetic algorithm

Tourism brings huge economic benefits to the scenic area and local residents. At the same time, it also brings some interference to the natural and ecological environment. Especially in the tourism peak, too many tourists travel a scenic spot at a same time, which caused great damage to ecological environment and base infrastructure of some scenic areas. Besides, tourist satisfaction has been affected due to the overcrowding at the same time, therefore it is very necessary that making a reasonable distribution of tourists. In this paper, we established the corresponding mathematical model and the objective functions were to maximize the spatial-temporal utility of scenic area and minimize the congestion of scenic sites. This paper innovatively transformed the problem of tourists visiting scenic area into the open shop scheduling with release and setup time problem (OSSRSTP), and designed a genetic algorithm to optimize the tourists shunt scheme through coding to the scenic spots and transportation resources in the scenic area. Finally, a numerical example is used to illustrate that the optimization effect is remarkable. Copyright © 2015 American Scientific Publishers All rights reserved.