基于多目标优化的集装箱自动装箱软件开发  

Development of Container Automatic Loading Software Based on Multi-Objective Optimization

作　　者：刘欢 刘寅 LIU Huan;LIU Yin(School of Art and Media,Guangzhou Vocational and Technical University of Science and Technology,Guangzhou,Guangdong 510555,China)

机构地区：[1]广州科技职业技术大学艺术传媒学院,广东广州510555

出　　处：《自动化应用》2024年第21期26-28,共3页Automation Application

摘　　要：近年来,随着集装箱运输的不断发展、集装箱码头吞吐量的不断攀升,如何快速、高效、低成本地完成集装箱装箱任务已成为集装箱码头亟需解决的问题。在此背景下,基于遗传算法和Unity3D物理引擎开发了一款新型的基于多目标的集装箱自动装箱软件系统。其创新之处在于除利用传统的遗传算法进行装箱决策外,还添加了手动装箱功能,使最终方案更合理化、人性化。In recent years,with the continuous development of container transportation and the increasing throughput of container terminals,how to quickly,efficiently,and cost effectively complete container loading tasks has become an urgent problem that container terminals need to solve.In this context,a new multi-objective container automatic loading software system was developed based on genetic algorithm and Unity3D physics engine.The innovation lies in the addition of manual packing function in addition to using traditional genetic algorithms for packing decisions,making the final solution more rational and user-friendly.

关 键 词：装箱问题 遗传算法 手动装箱 多目标优化 

分 类 号：TP31[自动化与计算机技术—计算机软件与理论]