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Synergistic Equilibrium

予測誤差8.3%で観光と環境を最適化

8.3% prediction error

8.3%

Prediction Error

28K+

Teams Globally

R²>0.5

Model Fit

3

Objectives Balanced

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Tourism and environmental sustainability are a zero-sum game—or so the standard models assume. MCM/ICM 2025 (Problem B) challenged us to find synergies. We built a three-dimensional coupled model linking tourist flow, environmental quality, and social satisfaction through system dynamics, then optimized with NSGA-III to find the Pareto frontier.

Achieved 8.3% tourist prediction error with R²>0.5 on the coupled model. PCA-KMeans clustering identified distinct destination archetypes with different optimal strategies. Competed against 28,000+ teams globally—Honorable Mention.

Python
NSGA-III
System Dynamics
Analytics
NSGA-IIISystem DynamicsPCA-KMeans