Title: Research on collaborative optimisation of urban agricultural product distribution centre location and routing based on improved adaptive large-scale neighbourhood search algorithm
Authors: Jingru Huang; Wei Zhang
Addresses: Dalian University of Technology, Dalian, Liaoning, China ' Tongji University, Shanghai, China
Abstract: The selection of the location of agricultural products refrigeration centres and the optimisation of the route distribution of refrigerated vehicles are the key issues to be considered in the decision-making of fresh food enterprises, which involves selecting one or more refrigerated storage centres from multiple centres to be selected as distribution centres, and planning the route distribution of refrigerated vehicles from distribution centres to multiple groups of customers. In vehicle routing and distribution optimisation and distribution centre location problems each had a mature research method, this paper establishes an optimisation model of limited fresh agricultural products distribution centre location considering fuel consumption, exhaust emission and multiple constraints, in order to minimise the total cost of distribution centre location. In this paper, an improved adaptive large-scale neighbourhood search is designed to solve this collaborative optimisation problem, and the model simulation test is compared with the traditional CW saving algorithm under different calculation examples. The results clearly show that the proposed model is closer to the reality of agricultural products distribution, and the proposed adaptive large-scale neighbourhood search algorithm is effective.
Keywords: location-routing; collaborative optimisation problems; adaptive large neighbourhood search; agricultural products.
International Journal of Wireless and Mobile Computing, 2022 Vol.22 No.1, pp.9 - 22
Received: 04 Feb 2021
Accepted: 07 Apr 2021
Published online: 27 Apr 2022 *