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首页> 外文期刊>International Journal of Naval Architecture and Ocean Engineering >Structural optimization of stiffener layout for stiffened plate using hybrid GA
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Structural optimization of stiffener layout for stiffened plate using hybrid GA

机译：混合遗传算法优化加筋板的加劲肋布置结构

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The current trend in shipyard industry is to reduce the weight of ships to support the reduction of CO2emissions. In this study, the stiffened plate was optimized that is used for building most of the ship-structure. Further, this study proposed the hybrid Genetic Algorithm (GA) technique, which combines a genetic algorithm and subsequent optimization methods. The design variables included the number and type of stiffeners, stiffener spacing, and plate thickness. The number and type of stiffeners are discrete design variables that were optimized using the genetic algorithm. The stiffener spacing and plate thickness are continuous design variables that were determined by subsequent optimization. The plate deformation was classified into global and local displacement, resulting in accurate estimations of the maximum displacement. The optimization result showed that the proposed hybrid GA is effective for obtaining optimal solutions, for all the design variables.
机译：造船业的当前趋势是减轻船舶的重量，以支持减少二氧化碳的排放。在这项研究中，对加劲板进行了优化，该加筋板用于建造大多数船舶结构。此外，本研究提出了一种混合遗传算法（GA）技术，该技术结合了遗传算法和后续的优化方法。设计变量包括加劲肋的数量和类型，加劲肋间距和板厚。加劲肋的数量和类型是使用遗传算法进行优化的离散设计变量。加劲肋间距和板厚是连续的设计变量，由后续的优化确定。板变形可分为整体位移和局部位移，从而可以精确估计最大位移。优化结果表明，对于所有设计变量，提出的混合遗传算法都能有效地获得最优解。

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