{"title":"Optimization Algorithm of Logistics Warehousing and Distribution Path based on Artificial Intelligence Technology","authors":"X. Gong","doi":"10.1109/ISAIEE57420.2022.00083","DOIUrl":null,"url":null,"abstract":"With the development of artificial intelligence technology in the field of logistics storage and distribution, logistics and artificial intelligence supply chain have brought new changes to the intelligent era (such as intelligent hardware, mass computing and network technology). and this impact is mainly realized by improving the efficiency of logistics technology. In order to further improve the efficiency of logistics industry, we should vigorously develop artificial intelligence technology, narrow the development gap of regional artificial intelligence, and improve the breadth and depth of artificial intelligence technology applied to logistics industry. This paper mainly explores the application of artificial intelligence in logistics, applies this technology to the logistics industry, uses artificial intelligence algorithm to accurately calculate the best path of actual distribution of logistics warehousing, and provides support for the choice of its path at the algorithm level. The use of artificial intelligence can accurately predict the inventory, and at the same time, it can also play a role in optimizing inventory measures. The unified algorithm falls into the local optimum too early, and can't consider the global distribution problem, which leads to the high cost of logistics warehousing and distribution path algorithm. Therefore, the optimization method of logistics warehousing and distribution path based on improved swarm intelligence optimization algorithm is studied. Highlight the use value of artificial intelligence technology, and make it develop towards the level of intelligent and automatic logistics and warehousing. Promote the deep integration of artificial intelligence technology with the traditional logistics industry chain, improve the production capacity of the whole chain of artificial intelligence logistics, and promote the development of the warehousing and distribution industry chain of artificial intelligence logistics.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISAIEE57420.2022.00083","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the development of artificial intelligence technology in the field of logistics storage and distribution, logistics and artificial intelligence supply chain have brought new changes to the intelligent era (such as intelligent hardware, mass computing and network technology). and this impact is mainly realized by improving the efficiency of logistics technology. In order to further improve the efficiency of logistics industry, we should vigorously develop artificial intelligence technology, narrow the development gap of regional artificial intelligence, and improve the breadth and depth of artificial intelligence technology applied to logistics industry. This paper mainly explores the application of artificial intelligence in logistics, applies this technology to the logistics industry, uses artificial intelligence algorithm to accurately calculate the best path of actual distribution of logistics warehousing, and provides support for the choice of its path at the algorithm level. The use of artificial intelligence can accurately predict the inventory, and at the same time, it can also play a role in optimizing inventory measures. The unified algorithm falls into the local optimum too early, and can't consider the global distribution problem, which leads to the high cost of logistics warehousing and distribution path algorithm. Therefore, the optimization method of logistics warehousing and distribution path based on improved swarm intelligence optimization algorithm is studied. Highlight the use value of artificial intelligence technology, and make it develop towards the level of intelligent and automatic logistics and warehousing. Promote the deep integration of artificial intelligence technology with the traditional logistics industry chain, improve the production capacity of the whole chain of artificial intelligence logistics, and promote the development of the warehousing and distribution industry chain of artificial intelligence logistics.