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首页> 外文期刊>Journal of marine science and technology >Correction to: Variable decomposition approach applied to multi-objective optimization for minimum powering of commercial ships
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Correction to: Variable decomposition approach applied to multi-objective optimization for minimum powering of commercial ships

机译：更正为：可变分解方法应用于多目标优化，以最小化商业船舶的动力

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摘要

As computational fluid dynamics has matured to the point where it is widely accepted as a key tool for ship hull form design, development of simulation-based design (SBD) has been strongly motivated in the past decades. Although many successful demonstrations of SBD were presented, most cases just deal with minimization of total resistance with a formulation of single-objective optimization problem. Once the interest is in minimization of ship-scale delivered power or effective power, issue related to accuracy of the simulation appears critical in many cases, which yield unconvincing results to hull form designers. The method we propose in this paper aims at overcoming the issues. Instead of just counting on predicted power from the simulation and solve a single-objective optimization problem, we first introduce variable decomposition approach to decompose a target ship performance function into terms including embedded parameters, then formulate and solve a multi-objective optimization problem (MOOP). Any scheme to solve MOOP can be applied. In the following, an overview of the present approach is given and results are presented and discussed through comparison with available experimental fluid dynamics data and detailed analysis of flow and integral parameters. The effectiveness of the present approach is also discussed.
机译：由于计算流体动力学已经成熟到可以被广泛用作船体形式设计的关键工具的程度，因此在过去的几十年中，基于仿真的设计（SBD）的开发受到了强烈的推动。尽管提出了许多成功的SBD演示，但大多数情况只是通过提出单目标优化问题来解决总阻力的最小化问题。一旦关注的是最小化船舶规模的输出功率或有效功率，在许多情况下，与仿真精度有关的问题就显得至关重要，这对船体形状设计者来说是令人信服的结果。我们在本文中提出的方法旨在克服这些问题。我们不只是依靠仿真来预测功率并解决单目标优化问题，我们首先引入变量分解方法将目标船舶性能函数分解为包含嵌入式参数的项，然后制定并解决多目标优化问题（MOOP） ）。可以采用任何解决MOOP的方案。在下文中，给出了本方法的概述，并且通过与可用的实验流体动力学数据进行比较以及对流量和积分参数进行详细分析，给出并讨论了结果。还讨论了本方法的有效性。

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