海上救援基地选址及救助船配置优化研究

On location selection for maritime rescue base and configuration optimization of rescue ship

近几年,随着我国经济的迅速发展,海上贸易日益频繁。为有效地提高海上救援的效率,将情景规划和随机规划应用到海上救援基地选址及救助船配置优化问题当中,考虑多种救助船型,并具体考虑每种船型可航行的区域,假定3种恶劣天气的情景,建立两阶段随机规划模型,设计免疫粒子群算法(Particle Swarm Optimization,PSO),并以我国南海海域为例,进行算例验证。结果表明:所建模型可找到最优的选址方案,大大降低了海上救援的成本,证明模型以及算法的有效性和合理性。对模型优化结果进行灵敏度分析,为我国交通运输部南海救助局救助船队的更新方向提供了参考。

Scenario planning and stochastic programming is introduced into the location selection of maritime rescue base and the optimization of rescue ship configuration.Several types of rescue ships and their respective seaworthy areas are investigated.Three severe weather scenarios are assumed.A two-stage stochastic programming model is built and the immune PSO(Particle Swarm Optimization)algorithm is developed.The method is verified with South China Sea case.The sensitivity analysis for the results is carried out.The result shows that the method can provide optimum proposals in saving rescue costs.