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Route Optimization of Container Ships Using Differential Evolution and Gray Wolf Optimization
Juhriyansyah Dalle,Paitoon Chetthamrongchai,Gunawan Widjaja,Egor Dudukalov,A. Heri Iswanto,Elena Sergeevna Sergushina 대한산업공학회 2021 Industrial Engineeering & Management Systems Vol.20 No.4
Container ships carry most of the world's cargo volume. Hence, Maritime transportation forms the backbone of the world merchandise trade. Today, with the advancement of shipbuilding technology and the increasing frequency of maritime transport, determining the optimal route for container ships has become more and more important for ship-ping lines and port managers. Accordingly, in the present study, we intend to investigate the ship routing problem us-ing a mixed integer linear mathematical programming model. In order to solve the proposed model, we have used the meta-heuristic algorithms of differential evolution and gray wolf optimization in MATLAB software. In the end, it was shown that the proposed mathematical model and solution approaches can assist ship operators and terminal managers in making reasonable optimization decisions.