基于免疫遗传算法的智能柔性仓库货位自动化分配方法
投稿时间:2022-07-27  修订日期:2022-09-15  点此下载全文
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杨震涛 国网天津市电力公司物资公司 300300
中文摘要:针对没有充分考虑到货物就近存储等因素,分配不均、入库效率低的问题,为了有效地提高工作效率,提高空间利用率,设计一个基于免疫遗传算法的智能柔性仓库货位自动化分配方法。将保证上轻下重的货架承重原则、先入后出的目标、关联性货物就近存储作为分配目标,采用免疫遗传算法不断迭代计算,赋予其自动化属性,对各层的个体给予同样的虚拟适度值,实现智能柔性仓库货位自动化分配。结果表明,所提出方法在应用后,能够将较重货物分配在底层,算法搜索效率提高,保证入库时间较短,满足智能柔性仓库自动化运维模式需求。
中文关键词:免疫遗传算法  智能柔性仓库  货位自动化分配  多目标优化  承载能力  聚集程度  
 
Automatic allocation method of intelligent flexible warehouse storage space based on immune genetic algorithm
Abstract:Aiming at the problems of uneven distribution and low warehousing efficiency, which do not fully consider the factors such as nearby storage of goods, in order to effectively improve work efficiency and space utilization, an automatic allocation method of storage location in intelligent flexible warehouse based on immune genetic algorithm is designed. Taking the shelf load-bearing principle of ensuring light weight at the top and heavy weight at the bottom, the goal of first in and last out, and the storage of related goods nearby as the allocation goals, the immune genetic algorithm is used to continuously iterate and calculate, endow it with automation attributes, and give the same virtual appropriate value to individuals at all levels, so as to realize the automatic allocation of cargo spaces in intelligent flexible warehouses. The results show that after application, the proposed method can distribute heavy goods at the bottom, improve the search efficiency of the algorithm, ensure a shorter warehousing time, and meet the requirements of automatic operation and maintenance mode of intelligent flexible warehouse.
keywords:immune genetic algorithm  intelligent flexible warehouse  automatic allocation of cargo spaces  multi-objective optimization  carrying capacity  aggregation degree  
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