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SURROGATE OPTIMISATION OF PROBABILISTIC SUBDIVISON INDEX

机译:概率优化概率补贴指标

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Probabilistic subdivision index "A" (index-A) of SOLAS'2009 is used to assess the damage survivability of a designed vessel against the required survivability level, further maximising it as long as practicable. Due to complex relationship between subdivision design variables and index-A, manual tuning of index-A proves generally irrelevant and iterative computer algorithms have been applied. However, recent research results indicate that the optimised function behind index-A is highly irregular and the optimisation has to be very intensive to find the global optimum. As direct calculation of index-A is tedious, such an intensive optimisation becomes prohibitive in practice, satisfying with suboptimal subdivision designs as a result. In this paper we further develop a surrogate function of index-A for realistic subdivisions of passenger ships. This allows us replacing tedious calculations by quick and sufficiently accurate estimates index-A, so that the time for ship optimisation can be reduced by far.
机译:SOLAS'2009的概率细分指数“A”(INDEX-A)用于评估设计船舶对所需的生存能力水平的损伤生存性,只要实际可行,进一步最大化它。由于细分设计变量和索引之间的复杂关系 - a,索引的手动调整通常已经应用了无关紧要的计算机算法。然而,最近的研究结果表明,Index-A背后的优化功能是高度不规则的,并且优化必须非常强烈地找到全球最佳。由于指数-A的直接计算是乏味的,这种密集优化在实践中变得令人满意,因此令人满意的次优细分设计。在本文中,我们进一步开发了索引A的索引函数,用于乘客船的现实细分。这使我们可以通过快速且足够的准确估计索引-A替换繁琐的计算,因此远远可以减少船舶优化的时间。

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