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Optimal Shipping Path Algorithm Design for Coastal Port
Author(s) -
Yunfang Ma,
Dan Chang,
Hong Wang,
Mincong Tang
Publication year - 2019
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2019.11.298
Subject(s) - container (type theory) , port (circuit theory) , computer science , path (computing) , destinations , shortest path problem , operations research , competition (biology) , maritime industry , premise , dijkstra's algorithm , business , tourism , computer network , engineering , mechanical engineering , graph , ecology , linguistics , philosophy , electrical engineering , theoretical computer science , law , political science , biology , commerce
As coastal port shipping industry is facing severe economic competition currently; coastal port container transportation companies are unable to increase profits by raising container’s mileage freight rate substantially as before. Against such a background, on the premise that the container transportation of coastal ports could arrive at destinations safely, the paper makes improvements on current optimal path algorithm for coastal ports, extends the meaning of optimal path such as the shortest distance, the lowest cost as well as the overall evaluation of path and cost, and made improved verification of the algorithm. By addressing the problem of choosing optimal path for coastal port shipping, the paper aims to promote the quick reaction of container shipping, reduce operation cost, enhance the competitiveness of coastal port container shipping and the economic efficiency of the algorithm, while providing new thoughts for the application of the algorithm.

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