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The Use of Genetic Optimization for Design of Small Diesel-Battery Submarine

机译:遗传优化在小型柴油电池潜艇设计中的应用

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Design of a Small Diesel-Battery Submarine (SDBS) has been carried out using Multi-Objectives Genetic Algorithm optimization combined with Analytical Hierarchy Process to meet the operation requirements. The objective attributes for this optimization are cost and effectiveness. The product of this optimization is a series of cost-effectiveness frontiers in the scattered graph which are used to select alternative designs based on the Indonesian Navy's preference. It is found that the Length of the submarine is 28 m with Diameter 4 m. The sprint power of 20 knots determines the motor power while the endurance power of 5 knots determines the battery capacity.
机译:结合多目标遗传算法优化和层次分析法,进行了小型柴油电池潜艇(SDBS)的设计,以满足运行要求。此优化的客观属性是成本和有效性。此优化的结果是散点图中的一系列成本效益前沿,用于根据印尼海军的偏好选择替代设计。发现潜艇的长度为28 m,直径为4 m。 20节的冲刺功率决定了电动机的功率,而5节的续航能力决定了电池的容量。

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