Open AccessResearch on Logistics Distribution Path Planning Based on Fish Swarm Algorithm
Author(s) -
Congcong Xiong,
Youhua Xu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1883/1/012040
Subject(s) - shortest path problem , path (computing) , swarm behaviour , jump , key (lock) , mathematical optimization , computer science , distribution (mathematics) , operations research , fish <actinopterygii> , algorithm , mathematics , fishery , theoretical computer science , graph , mathematical analysis , physics , computer security , quantum mechanics , biology , programming language
Logistics distribution related to the transportation cost and the competitiveness of logistics enterprises. How to effectively determine the shortest path of logistics distribution has become a key link for logistics enterprises to reduce costs, improve efficiency and enhance competitiveness. This paper proposes a method of using Fish Swarm Algorithm to optimize the logistics distribution path. Experiments show that the method is effective. The algorithm can quickly jump out of the local optimal solution and converge on the shortest path. The optimized path length is less than half of the initial length.