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改进遗传算法在船舶自由浮态计算中的应用
引用本文:金宁,谢田华,田恒斗,沈艺坤.改进遗传算法在船舶自由浮态计算中的应用[J].中国航海,2007(1):10-12,84.
作者姓名:金宁  谢田华  田恒斗  沈艺坤
作者单位:海军大连舰艇学院,辽宁,大连,116018
摘    要:为了更快、更准确地计算船舶自由浮态问题,对原有计算方法进行改进。根据船舶自由漂浮的平衡条件,将自由浮态计算归结为多目标约束优化问题,并引入一种改进遗传算法对该优化问题进行求解。实例计算表明,使用该方法,迭代次数明显少于基本遗传算法,船舶自由浮态计算时间大幅下降,计算结果准确可靠。研究结果对于迅速掌握船舶状态,可靠保障船舶生命力具有重要意义。

关 键 词:船舶、舰船工程  自由浮态计算  改进遗传算法  多目标约束优化
文章编号:1000-4653(2007)01-0010-03
收稿时间:2006-11-25
修稿时间:2006-11-25

Application of Modified Genetic Algorithm in Calculation of Ship Free Floating State
JIN Ning,XIE Tian-hua,TIAN Heng-dou,SHEN Yi-kun.Application of Modified Genetic Algorithm in Calculation of Ship Free Floating State[J].Navigation of China,2007(1):10-12,84.
Authors:JIN Ning  XIE Tian-hua  TIAN Heng-dou  SHEN Yi-kun
Institution:Dalian Naval Academy, dalian 116018, China
Abstract:In order to calculate ship free floating state quicker and more accurately,original calculating methods have been modified.According to the equilibrium conditions of ship free floating,the calculation problem of free floating state can be summed up as a problem of multi-objective constrained optimization, and an modified genetic algorithm is introduced for its solution.Calculation examples indicate that consuming time for the calculation of ship free floating state is reduced greatly,iterative times are obviously less and calculation results are more accurate and reliable,compared with basic genetic algorithm.This research can play a great role in ship states control and reliable survivability safeguard.
Keywords:Ship  Naval engineering  Free floating state calculation  Modified genetic algorithm  Multi-objective constrained optimization
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