SUSTAINABILITY TOURISM OPTIMIZATION BASED ON GENETIC ALGORITHM
Keywords:
Sustainable tourism, Genetic algorithm, Feedback loop, Sensitivity analysisAbstract
This paper aims to develop an optimization model to balance tourist numbers, tourism revenue, and environmental impact, ensuring sustainable tourism development. Using a genetic algorithm, we optimize the model to maximize revenue and tourist flow while minimizing environmental impact and infrastructure pressure. Additionally, we propose a reinvestment plan where optimized tax revenue is allocated to environmental protection and infrastructure, forming a feedback loop that enhances sustainability. We successfully balances tourism revenue, tourist flow, and environmental impact in Juneau using an optimization model. The extra expenditure plan also ensures funding for long-term environmental and infrastructure sustainability, making this model a valuable reference for both Juneau and other destinations facing similar challenges.References
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