Author(s)

YuXin Wang^*, Yang Rong, ShunYu Li

Affiliation(s)

School of Electronic and Information Engineering, Liaoning Technical University, Huludao 125105, Liaoning, China.

Corresponding Author

YuXin Wang

ABSTRACT

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.

KEYWORDS

Sustainable tourism; Genetic algorithm; Feedback loop; Sensitivity analysis

CITE THIS PAPER

YuXin Wang, Yang Rong, ShunYu Li. Sustainability tourism optimization based on genetic algorithm. World Journal of Economics and Business Research. 2025, 3(4): 28-32. DOI: https://doi.org/10.61784/wjebr3064.

REFERENCES

[1] Vijay K, Lilesh G, Ritu D. Hybrid NSGA-III and simulated annealing approach for multi-objective time–cost-quality-sustainability optimization in wastewater treatment plant construction projects. Asian Journal of Civil Engineering, 2025(6):26.

[2] Qiu Z, Zhu J, Ebeido A, et al. Data-driven probabilistic seismic demand prediction and sustainability optimization of stone columns for liquefaction mitigation in regional mildly sloping ground.Computers and Geotechnics, 2025, 181.

[3] Andriani G, Salano L, Bozzini M M, et al. Sustainability-Oriented Process Optimization for Biogas to Methanol: Balancing Safety, Economics, and Environmental Parameters.Industrial & Engineering Chemistry Research, 2025, 64(28): 14282-14296.

[4] Zhang Z, Wang Y, Zhu M, et al. Integrating machine learning and life cycle sustainability assessment for systematic optimization of petroleum coke oxidation for hydrogen residues processing.Computers & Chemical Engineering, 2025, 201.

[5] Venkataswamy R, Seo J . Sustainability Assessment and Optimization of Cerium Dioxide Nanoparticle Synthesis for Enhanced Chemical Mechanical Planarization Performance. IOP Publishing Ltd, 2025.

[6] Freihat S, Hariga M, As'Ad R. Cost and Sustainability Optimization of Desalinated Water Supply Chains.Operations & Supply Chain Management : An International Journal, 2025, 18(1).

[7] Agrawal K P. Organizational Sustainability of Generative AI-Driven Optimization Intelligence. Journal of Computer Information Systems, 2025, 65(3):265-279.

[8] Patin M, Begot S, Gustin F, et al. Enhancing Residential Sustainability: Multi-objective optimization of hydrogen-based multi-energy system. International journal of hydrogen energy, 2024(May): 67.

[9] Xu J, Luo J, Huang S, et al. Investigating the "Fever" of Northeast Cultural Tourism from Two Perspectives and Exploring the Road to Changhong: Based on Data Mining and Explainable Machine Learning. 2024 10th International Conference on Systems and Informatics (ICSAI), 2024:1-6.

[10] Surya P R A, Fournier A, Sutama I, et al. Three-keys digital media in strengthening brand awareness at The Vibes Night Club, France. International Journal of Green Tourism Research and Applications, 2023.