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Updated: Jan 15, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Stochastic dynamic programming model for liner international scheduling optimization under ECA policies.

Jianhui Du¹, Peng Wu²

¹School of Economics and Management, Bengbu University, Bengbu, 233030, China.

Marine Pollution Bulletin

|October 15, 2025

Summary

This summary is machine-generated.

Emission Control Area (ECA) policies impact shipping. A new dynamic bunkering strategy optimizes liner scheduling, improving efficiency and promoting offshore bunkering to reduce sulfur emissions.

Keywords:

Bunkering Speed optimization Stochastic dynamic programming

Related Experiment Videos

Last Updated: Jan 15, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Area of Science:

Maritime Logistics
Environmental Policy
Operations Research

Background:

Emission Control Area (ECA) policies create fuel price differentials and compliance challenges for international liner shipping.
Existing shipping operations face difficulties in adapting to dynamic regulatory environments and fuel cost volatility.

Purpose of the Study:

To develop a comprehensive framework for optimizing international liner scheduling under ECA regulations.
To address multi-stage dynamic decision-making under uncertainty in fuel procurement and vessel operations.

Main Methods:

Formulated a stochastic dynamic programming model to capture decision-making complexities.
Designed a customized stochastic Monte Carlo optimization algorithm for simulation.
Conducted simulation experiments on the Asia-Europe shipping route.

Main Results:

A dynamic bunkering strategy significantly enhances transportation efficiency compared to traditional methods.
Fuel price fluctuations incentivize the adoption of offshore bunkering strategies.
Offshore bunkering aids in reducing sulfur emissions.

Conclusions:

The proposed framework offers practical guidance for shipping companies navigating ECA regulations.
Dynamic bunkering and offshore strategies are crucial for operational efficiency and environmental compliance.
Shipping operators can transform their strategies to align with ongoing ECA implementation.