集装箱船舶配载问题的蚁群算法求解设想  

Ant Colony Optimization Solution for the Container Ship Loading Problems

作　　者：张勇 陈进鹏 徐振田 ZHANG Yong;CHEN Jinpeng;XU Zhentian(Qingdao Qianwan Container Terminal Co.,Ltd.,Qingdao 266550,China)

机构地区：[1]青岛前湾集装箱码头有限责任公司,山东青岛266550

出　　处：《物流科技》2024年第22期89-93,共5页Logistics Sci Tech

摘　　要：文章探讨了蚁群算法在集装箱船舶配载问题中的应用。首先介绍了蚁群算法的基本原理及其在集装箱船舶配载问题中的应用背景,然后详细阐述了配载问题的数学建模情况,描述了蚁群算法的具体实现步骤,并通过案例分析,展示了蚁群算法在实际应用中的求解过程和应用效果,讨论了算法性能评估和不同情境的优化效果,探讨了蚁群算法的参数调优策略。This paper delves into the application of ant colony optimization(ACO)in the container ship loading problems.The article begins by introducing the fundamental principles of ACO and its application background in the container ship loading problems.It then provides a detailed exposition of the mathematical modeling of the loading problems,and describes the specific implementation steps of ACO.Through case studies,the paper illustrates the solution process and effectiveness of ACO in practical applications,discusses the performance evaluation of the algorithm and the optimization effects under different scenarios,and investigates strategies for parameter tuning within ACO.

关 键 词：蚁群算法 集装箱船舶配载 数学优化建模 多目标优化 算法泛化能力 

分 类 号：F552[经济管理—产业经济] U693.4[交通运输工程—港口、海岸及近海工程]