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出 处:《船舶工程》2009年第B09期4-7,112,共5页Ship Engineering
摘 要:采用快速非劣分层多目标遗传算法(NSGA II)和多属性决策理论,针对大深度潜器环肋圆柱壳在静水压力作用下的多目标离散优化问题进行了研究.以重量及强度应力量为目标函数,求出了Pareto最优解,给出了强度应力量和失稳载荷与重量之间的分布关系.采用逼近理想解的排序方法(TOPSIS)和信息熵方法,得到基于无偏好信息情况下的最优解排序.结果表明,这种联合方法能够快速寻找到最优解,这些解分布比较均匀、多样性好,能够为决策者提供较多选择,决策的最终结果合理.A study of multi-objective optimization of circular cylindrical shells under hydrostatic pressure in deep diving depth is presented in this analysis. A hybrid approaches is proposed.In the first stage,a Non-dominated Sorting Genetic Algorithm II(NSGA II) is employed to approximate the set of Pareto solution through an evolutionary optimization process.In the subsequent stage,a multi-attribute decision making(MADM) approach is adopted to rank these solutions from best to worst and to determine the best solution in a deterministic environment with a single decision maker.A circular cylindrical shell in deep diving depth is conducted to illustrate the analysis process in present study.Pareto solutions are obtained and the ranking of Pareto solution is based on entropy weight and TOPSIS method.
关 键 词:潜器 环肋圆柱壳 大潜深 多目标优化 多属性决策
分 类 号:U661.7[交通运输工程—船舶及航道工程]
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