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Analysis of cross-border E-Commerce logistics model based on embedded system and genetic algorithm

机译：基于嵌入式系统和遗传算法的跨境电子商务物流模型分析

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摘要

Cross-border e-commerce is a challenge in the logistics sector because of this dynamic market. It means hiring sea and air cargo partners, customs brokers, warehousing operators, regional logistics partners, and all other stakeholders at the Operations Department. Refers to online transactions between cross-border e-commerce companies (retailers and brands) and consumers, both companies, often brands and wholesalers, or between two individuals. Using embedded system to design can achieve the balance of software and hardware.In solving combinatorial optimization problems, we often use genetic algorithm.In order to solve the practical problems, we need to consider both the software part and the hardware part.Genetic algorithm mainly simulates the evolution process of organisms through natural selection. On the one hand, it can solve some constrained problems, on the other hand, it can also optimize some unconstrained problems.In this study, based on genetic algorithm, we optimize the distribution efficiency in the real world, and propose the optimized algorithm and improve it.We have changed the parameters of the traditional genetic algorithm to realize the optimization of e-commerce. We can also see from the experimental results that we have achieved certain results.The improved genetic algorithm can play a certain role in the distribution process of e-commerce, improve the efficiency of transportation, and meet the requirements of reality.
机译：由于这个充满活力的市场，跨境电子商务是物流部门的挑战。它意味着招聘海和航空货物合作伙伴，海关经纪人，仓储运营商，区域物流合作伙伴以及运营部门的所有其他利益攸关方。是指跨境电子商务公司（零售商和品牌）和消费者之间的在线交易，两家公司，通常是品牌和批发商，或两个人之间。使用嵌入式系统来设计可以实现软件和硬件的平衡。在解决组合优化问题中，我们经常使用遗传算法。在命令解决实际问题，我们需要考虑软件部分和硬件部分。最终算法通过自然选择模拟生物体的进化过程。一方面，它可以解决一些受限制的问题，另一方面，它还可以优化一些无约束的问题。本研究基于遗传算法，我们优化了现实世界的分布效率，并提出了优化的算法和提出了优化的算法改进它。我们改变了传统遗传算法的参数，实现了电子商务的优化。我们还可以从实验结果中看到我们已经取得了某种结果。改善的遗传算法可以在电子商务的分配过程中发挥一定作用，提高运输效率，并满足现实的要求。

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