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After analyzing the advantages of the traditional ant colony algorithm in the design of tourism routes, in order to improve the rationality of the planning of travel routes, an optimized ant colony algorithm model is established to solve the characteristic tourism planning routes, making route planning more scientific and efficient. The final simulation experiment proves that the improvement of the ant colony algorithm in this study can effectively improve the effectiveness of the route planning and formulate special tourist routes that are more popular with tourists. <\/jats:p>","DOI":"10.1142\/s2424922x22500024","type":"journal-article","created":{"date-parts":[[2022,3,20]],"date-time":"2022-03-20T14:09:52Z","timestamp":1647785392000},"source":"Crossref","is-referenced-by-count":2,"title":["Study on the Characteristics of Special Cultural Tourism Securing and Enhancing Operations Based on Big Data"],"prefix":"10.1142","volume":"14","author":[{"given":"Peng","family":"Peng","sequence":"first","affiliation":[{"name":"School of Civil Engineering, Hunan University of Arts and Science, Changde, Hunan 415000, P. R. 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