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Abstract Recently, the international society such as IMO (International Maritime Organization) has announced that ship route planning can achieve reductions in fuel consumption and the associated greenhouse gas emissions through technical and operational measures such as speed management and route determination. Related to these issues, a robust optimization method for ship route planning is proposed in this study. For this, an optimization problem for finding an optimal ship route is mathematically formulated considering fuel consumption, seakeeping criteria, and weather condition. The direction and speed of the ship are selected as design variables. The requirement on the estimated arrival of time, the avoidance of land, the ship direction, the engine RPM, and the seakeeping criteria are selected as constraints. And the minimization of fuel consumption is selected as one of objective functions. To solve this problem, a meta-heuristic algorithm is used as an optimization algorithm. To check the applicability of the proposed method, it is applied to various problems for ship route planning and compared with the results from existing methods and the commercial program. The results show that the proposed method is better than them in terms of cost issue such as fuel consumption.
Publication Date 2017-08-26
Ki-Su Kim, Myung-Il Roh, Sung-Min Lee, "Toward a Robust Optimization Method for Ship Route Planning Considering Cost and Safety Aspect", Proceedings of ACDDE(Asian Conference on Design and Digital Engineering) 2017, Zhangjiajie, China, pp. 1, 2017.08.23-27

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