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Abstract The aggravation of financial condition of shipping companies in recent years and the emphasis on reducing greenhouse gas emissions have resulted in renewed interest in further optimizing ship performance through the development of green-ship or smart-ship technologies. A recent IMO study has indicated 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 planning. Related to these issues, a simultaneous optimization method of the direction and speed 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 and weather condition. The direction and speed of the ship are selected as design variables. The requirement on the estimated arrival of time and the avoidance of land are selected as constraints. And the minimization of fuel consumption is selected as one of objective functions. To solve this problem, the genetic 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 fuel consumption.
Publication Date 2017-01-25

Ki-Su Kim, Myung-Il Roh, Sung-Min Lee, "A Simultaneous Optimization Method of the Direction and Speed for Ship Route Planning", Proceedings of Smart Ship Technology 2017, London, England, 2017.01.24-25


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    by SyDLab
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