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针对边远群岛海运物流体系在构建与优化中所面对的选址-库存-路径问题,从边远群岛的地理结构和自然环境出发,分析了这一特殊背景下物流体系的内在运作机理和特点.以物流节点选址、港口布局、仓储规划和航线配置为基本内容,以各岛屿物资供应不问断为前提,构建出物流成本最低的优化模型.根据问题特点,提出一种基于遗传算法和模拟植物生长算法的混合算法.通过对我国南海某群岛海运物流体系实例计算和不同算法的对比,说明所建模型和算法的合理性与有效性.最后,经过灵敏度分析,指出了决策时应更关注运输系统优化的内容.文中提出的模型、算法为边远群岛海运物流体系的构建提供了理论支撑和优化方法,对于我国南海群岛建设决策及物流体系的构建具有重要的理论意义和实用价值.
In view of the location-inventory-routing problem faced by COSCO maritime logistics system in its construction and optimization, this paper analyzes the inherent operation mechanism and characteristics of logistics system under the special background from the geographical structure and natural environment of the remote archipelago. Taking the logistics node location, port layout, storage planning and route configuration as the basic contents, the optimization model with the lowest logistics cost is constructed based on the assumption that the supply of goods in each island is not interrupted.According to the characteristics of the problem, a genetic algorithm and simulation A hybrid algorithm of plant growth algorithm is proposed.According to the example calculation and different algorithms of marine logistics system in an archipelago of South China Sea, the rationality and validity of the proposed model and algorithm are illustrated.Finally, after sensitivity analysis, it is pointed out that more attention should be paid to decision-making Transportation system optimization.The model and algorithm proposed in this paper provide theoretical support and optimization method for the construction of maritime logistics system in the remote archipelago and have important theoretical and practical value for the construction decision-making and logistics system construction of the South China Sea archipelago.