Design and Implementation of Intelligent Logistics Distribution System for the Real-world Problem

With the rapid development of the Internet and E-commerce, logistics has become a very important part of online businesses. Although there exist some third-party logistics systems in China's city freight industry, e.g., Lalamove and GOGOVAN, most of which target at a single destination, which cannot achieve multi-destination goods delivery. To solve this problem, we develop an existing algorithm, namely Tabu-ABC for the real-world problem, and design a logistics distribution system, which focuses on merchants with specific delivery time requirements. Finally, we adopt 21 instances randomly generated in Xiamen's map and evaluate the performance. Experimental results show that with the increase of problem size, our system demonstrates better performance than traditional operation. Our system is available at http://adahappy.site:8080/.