Optimization Algorithm of Logistics Warehousing and Distribution Path based on Artificial Intelligence Technology

X. Gong
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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.
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基于人工智能技术的物流仓储配送路径优化算法
随着人工智能技术在物流仓储配送领域的发展,物流和人工智能供应链为智能时代(如智能硬件、海量计算和网络技术)带来了新的变化。而这种影响主要是通过提高物流技术的效率来实现的。为了进一步提高物流业的效率,我们应该大力发展人工智能技术,缩小区域人工智能的发展差距,提高人工智能技术应用于物流业的广度和深度。本文主要探讨人工智能在物流中的应用,将该技术应用于物流行业,利用人工智能算法精确计算出物流仓储实际配送的最佳路径,并在算法层面为其路径的选择提供支持。利用人工智能可以准确预测库存,同时还可以起到优化库存措施的作用。统一的算法过早地陷入局部最优,不能考虑全局配送问题,导致物流仓储和配送路径算法成本较高。因此,研究了基于改进的群智能优化算法的物流仓储配送路径优化方法。突出人工智能技术的使用价值,使其朝着物流仓储智能化、自动化的水平发展。推动人工智能技术与传统物流产业链深度融合,提升人工智能物流全链条生产能力,推动人工智能物流仓储配送产业链发展。
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