Multi-Objective Weather Routing Algorithm for Ships Based on Hybrid Particle Swarm Optimization

• 作者: ZHAO Wei WANG Hongbo GENG Jianning HU Wenmei ZHANG Zhanshuo ZHANG Guangyu
• 来源期刊: 中国海洋大学学报（自然科学英文版）
• 年，卷（期）: 2022,（1）
• 所属期刊栏目: Marine and Atmospheric Sciences
• 页码范围: 28-38
• 页数: 11页
• 语种: 英文

摘要

Maritime transportation has become an important part of the international trade system. To promote its sustainable de-velopment, it is necessary to reduce the fuel consumption of ships, decrease navigation risks, and shorten the navigation time. Ac-cordingly, planning a multi-objective route for ships is an effective way to achieve these goals. In this paper, we propose a multi-ob-jective optimal ship weather routing system framework. Based on this framework, a ship route model, ship fuel consumption model, and navigation risk model are established, and a non-dominated sorting and multi-objective ship weather routing algorithm based on particle swarm optimization is proposed. To fasten the convergence of the algorithm and improve the diversity of route solutions, a mutation operation and an elite selection operation are introduced in the algorithm. Based on the Pareto optimal front and Pareto optimal solution set obtained by the algorithm, a recommended route selection criterion is designed. Finally, two sets of simulated navigation simulation experiments on a container ship are conducted. The experimental results show that the proposed multi- objec-tive optimal weather routing system can be used to plan a ship route with low navigation risk, short navigation time, and low fuel consumption, fulfilling the safety, efficiency, and economic goals.