{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T02:40:15Z","timestamp":1784256015155,"version":"3.55.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684444","type":"print"},{"value":"9781643684451","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,11,30]],"date-time":"2023-11-30T00:00:00Z","timestamp":1701302400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,11,30]]},"abstract":"<jats:p>Logistics management system is a kind of computer software system used to manage logistics process. It can help logistics companies manage and coordinate various logistics activities, such as cargo tracking, inventory management, transportation management, order processing, etc. Logistics management systems can improve the efficiency and accuracy of logistics companies, thereby reducing logistics costs and improving customer satisfaction. The logistics management system based on ant colony model is a method to optimize the logistics management by using the collective behavior of insects. The main idea of this method is to make the logistics management system better cope with the complex environment and uncertainty by simulating the navigation and decision-making behavior of ants. In this system, ant behavior is abstracted into a series of algorithms that can be used to optimize problems such as path planning, inventory management, and distribution route selection in logistics management. For example, the ant colony algorithm can be used in the system to solve the complex path planning problem, which can realize the optimal path planning without considering the time and terrain constraints.<\/jats:p>","DOI":"10.3233\/faia230856","type":"book-chapter","created":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T15:55:05Z","timestamp":1701446105000},"source":"Crossref","is-referenced-by-count":2,"title":["Design Logistics Management System Based on Computer Algorithm Model"],"prefix":"10.3233","author":[{"given":"Hualin","family":"Sun","sequence":"first","affiliation":[{"name":"Wuhan Qingchuan University, No.9 Yuping Avenue, China Science and Technology Industrial Park, East Lake New Technology Development Zone, Wuhan City, Hubei Province"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Advances in Artificial Intelligence, Big Data and Algorithms"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA230856","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T15:55:31Z","timestamp":1701446131000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA230856"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,30]]},"ISBN":["9781643684444","9781643684451"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia230856","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11,30]]}}}