Authors: Xinjie Shi; Bochen Zhang; Xiaoli Yang; Xusheng Kang
Addresses: Zhejiang University City College, Hangzhou, Zhejiang, China ' Zhejiang University City College, Hangzhou, Zhejiang, China ' Zhejiang University City College, Hangzhou, Zhejiang, China ' Zhejiang University City College, Hangzhou, Zhejiang, China
Abstract: At present, there are many defects in the global grain allocation, such as large grain losses and high consumption. Especially, the global grain allocation is particularly unbalanced, which leads to the phenomenon of 'world hunger' becoming more and more serious. This paper proposes establishing several grain transshipments globally to coordinate the global grain allocation. To alleviate the imbalance of grain allocation, this paper uses the per capita grain output and per capita GDP of each country to estimate the weight of grain allocation in each country by using the entropy weight method. Based on this weight and the geographical location of each country, all countries and regions of the world are divided into several grain transshipment sub-regions by using the clustering analysis method. For each grain transshipment sub-region, the advantages and disadvantages of the single-transshipment model and the double-transshipment model are compared by using intelligent algorithms such as the immune algorithm, and the optimal grain transshipment location for construction and implementation is obtained by manually adjusting the optimal longitude and latitude obtained by the algorithm. Finally, the validity of the model algorithm is verified by simulation.
Keywords: grain transshipment location; entropy weight method; cluster analysis method; grain transshipment sub-regions; immune algorithm.
International Journal of Swarm Intelligence, 2022 Vol.7 No.2, pp.206 - 216
Received: 28 Aug 2021
Accepted: 03 Jan 2022
Published online: 26 May 2022 *