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Ensemble-based ship weather multi-objective route optimization
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DOI：10.1016/j.jii.2026.101075.png)
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Abstract
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• Ensemble weather data integrated into ship routing optimization. • Bayesian-optimized NN model predicts ship fuel consumption. • Four strategies compare trade-offs in fuel consumption, duration, and risk. • GWO-based optimization applies ensemble mean, worst-case, risk-aware, and CVaR objectives. • CVaR balances efficiency and risk, while worst-case ensures maximum safety.
Keywords:
Weather routing
Route optimization
Grey wolf optimizer
Weather uncertainty
Cruise ship
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