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Multi-Objective Optimization Method in the Main Dimensions of High Performance Ship Based on Current EEDI

机译:基于当前EEDI的高性能船舶主要尺寸多目标优化方法

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Current regulations on the Energy Efficiency Design Index (EEDI)have no clear description of the computation method for the indexassociated with high performance ships. As a supplement, this paperaims to bridge the gap by developing the calculation formula forcalculating the EEDI for these ships. Load capacity, ship speed andEEDI in the proposed EEDI formula are significantly affected by theship’s main dimensions. This leads to the need of multi-objectiveoptimizations. To meet the need, the genetic algorithm was used toobtain the pareto frontier. Fifteen groups of optimized results weredetermined for further decision-making. The final optimal model thatdetermines the weight of different indicators was established by usingthe rigid least square method. The optimum scheme showed an increasein the load capacity and speed by 16.41% and 0.36%, respectively. Inaddition, the EEDI was reduced by 14.42% compared to the target ship.
机译:能源效率设计指数(EEDI)的现行规定 对索引的计算方法没有明确的描述 与高性能船舶相关联。作为补充,本文 旨在通过开发计算公式来弥合差距 计算这些船的EEDI。载重量,船速和 提议的EEDI公式中的EEDI受以下因素的影响很大 船的主要尺寸。这导致需要多目标 优化。为了满足需要,使用遗传算法对 获取pareto边界。 15组优化结果分别为 确定进一步的决策。最终的最优模型 确定不同指标的权重是通过使用 刚性最小二乘法。最佳方案表明增加了 负载能力和速度分别提高了16.41%和0.36%。在 此外,EEDI与目标船相比减少了14.42%。

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