Open AccessOptimal path selection of multimodal transport based on Ant Colony Algorithm
Author(s) -
Dayun Ge
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 - 10.1088/1742-6596/2083/3/032011
Subject(s) - multimodal transport , ant colony optimization algorithms , computer science , path (computing) , container (type theory) , transportation theory , process (computing) , selection (genetic algorithm) , flow network , task (project management) , matlab , algorithm , mathematical optimization , operations research , transport engineering , engineering , artificial intelligence , systems engineering , mathematics , mechanical engineering , programming language , operating system
In the process of multimodal transport, the cost and time of transportation are particularly important. In order to avoid unreasonable container transportation and unnecessary waste of transportation capacity and transportation cost, we must effectively integrate the advantages of various transportation modes, select the most suitable transportation mode and the most reasonable transportation path, and take the minimum cost and time as the goal to ensure the smooth transportation of goods to the destination. Therefore, optimizing multimodal transport network has very important practical significance. This paper starts with the multimodal transport network under a single task, designs the solution method of the model combined with ant colony algorithm, and gives an example. Finally, the model and algorithm design are proved to be reasonable by using MATLAB solution algorithm.