An Exploration of Tourism Development Based on Undominated Sorting Genetic Algorithm II and Multi-Objective Optimization

Abstract

This study was conducted using the Non-dominated Sorting Genetic Algorithm II (NSGA-II) and a multi-objective optimization model, aiming to cope with the development of sustainable tourism as well as to provide a reference for other tourism areas. Firstly, the TriOptima sustainable triple equilibrium model was constructed, with economic income, environmental protection and social satisfaction as multiple objectives, and the number of tourists, the proportion of environmental protection investment and the proportion of community investment were introduced as decision variables to constrain the multiple aspects and build an optimization framework. Then, the NSGA-II is used to solve the Pareto optimal solution set. Secondly, the model can be extended to other tourism zones, and in case of over-tourism, the model can be adjusted, and new objectives can be added according to their geographic characteristics and environmental challenges, so that the tourism optimization scheme can be proposed to achieve the best balance of multiple benefits.