Abstract

With the increase of marine debris and the serious destruction of the ecological environment, marine debris collection has become an urgent task facing us. In this paper, the logistics network is used to optimize the routing of marine debris collection vessels. In order to reduce carbon emissions, we choose to use new energy waste collection vessels which have solar and diesel hybrid power. The objection of this paper is to minimize the total cost. The constraints include time window, vessel capacity and carbon emissions, which are solved by large-scale neighborhood search algorithm. Taking the East China Sea as an example, the results show that the total cost and total time can be saved by 20.58% and 17.43% respectively by choosing the best debris collection time. Under different environmental conditions, when the photovoltaic penetration of solar hybrid vessel reaches 75%, the cost can be saved by 22.14%, and the carbon emission can be reduced by 74.7%. Through the analysis of different types of vessels, it is found that 11.85% of the cost can be saved by selecting the best vessel type.

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