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潜艇概念设计阶段的多目标优化研究 被引量:7

Multi-objective optimization study on conceptual design of submarine
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摘要 研究了潜艇在概念设计阶段的多目标优化问题。基于多目标遗传算法(MOGA),把潜艇航速和排水量这两个概念设计阶段的重要属性作为目标函数,考虑了浮力平衡和水下稳性等约束条件,研究了潜艇主尺度确定的问题。计算了一个潜艇概念的数值算例,给出了多目标优化问题的Pareto前沿。文中给出的方法能够快速求解多目标优化解,为实际的潜艇设计提供参考。 The optimization solutions were obtained for submarine based on multi-objective genetic algorithm (MOGA). The two objectives were speed and displacement of submarine. The constraints including buoyant equations, stability requirement on surface and those of variables were considered. A numerical example was taken to obtain the Pareto frontier.
作者 李学斌 潘治
出处 《海军工程大学学报》 CAS 北大核心 2008年第2期56-60,共5页 Journal of Naval University of Engineering
关键词 潜艇 概念设计 多目标优化 遗传算法 submarine conceptual design multi-objective optimization genetic algorithm
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