Dynamic Particle Swarm Optimization in Ecotourism Comprehensive Evaluation Index System

As a kind of tourism development, ecotourism came into being. In recent years, it has become the mainstream of world century tourism development. The purpose of this paper is based on the research of dynamic particle swarm algorithm in the comprehensive system of ecotourism evaluation index. According to the adaptability of the evaluation system, the landscape characteristics of different types of ecotourism resources are different. Combined with specific research to explore innovative ideas, and further use examples to carry out Analysis of the evaluation index of ecotourism resources. Through the questionnaire survey method, this paper makes a questionnaire according to the evaluation index selected by the evaluation system, selects the index standard for grading, and uses the dynamic particle swarm algorithm to calculate the index weight, and establishes an evaluation index system for eco-tourism scenic spots. The conclusion shows that 70% of domestic tourists come from the Pearl River Delta region and outside the province. The income of tourists is mainly middle and high-level, and their occupations are distributed in civil servants, teachers, business managers and other working classes. Workers and students account for 15%, and the proportion is relatively low. Sightseeing, recreation and closeness to nature are the mainstays, but the revisit rate of tourists is low (10%). It can be seen that the scenic area in place A has great potential for developing eco-tourism market.