Abstract
Optimal path selection is a fundamental problem in tourism, the influence factors of which only including the rout length, but also including weather, transportation and the scenery of attractions and other relevant factors. Therefore, route selection only based on the route length cannot capture the actual requirement. The paper studies the multi-weights (such as weather, route length, attractions scenery and etc.) in route selection, and then proposed an improved ant colony algorithm based on multi-weights (ACA-MW), which uses the multi-weights ant and the genetic variation to search optimal path. Simulated experiment of the ACA-MW shows high performance, the improved algorithm is effective. In tourism, ACA-MW can do well in optimal path selection problem.
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