基于遗传算法的气垫船主尺度优化设计研究
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摘要
将总体性能计算模块与遗传算法相结合,建立了一种气垫船主尺度及总体性能自动优化方法。基于该方法,在限定的主机功率、航速、海况及主尺度参数变化范围内,以运输效率最优为目标,开展了气垫船主尺度优化设计研究。研究显示:遗传算法具有很强的全局寻优能力,且能够有效处理单目标和多目标优化问题;基于遗传算法的自动优化方法所优选确定的主尺度方案具有更高的运输效率,表明该方法在气垫船总体方案论证及总体性能优化设计方面可发挥重要作用。
Combining the overall performance calculation module with the genetic algorithm,this paper develops an automatic optimization approach for the principal dimensions and the overall performance of the air cushion vehicles.Based on this approach,it carries out the principal dimensions optimization design of the air cushion vehicles aiming at the optimum transport efficiency within the restricted power,speed,sea states and the parametric variation range of the principal dimensions.The results indicate that the genetic algorithm has great global optimization ability,and can effectively solve the single-objective optimization and the multi-objective optimization problems.The principal dimensions scheme that determined by the automatic optimization method based on the genetic algorithm has greater transport efficiency,showing that this approach can play an important role in the scheme demonstration and the overall performance optimization of the air cushion vehicle.
Combining the overall performance calculation module with the genetic algorithm,this paper develops an automatic optimization approach for the principal dimensions and the overall performance of the air cushion vehicles.Based on this approach,it carries out the principal dimensions optimization design of the air cushion vehicles aiming at the optimum transport efficiency within the restricted power,speed,sea states and the parametric variation range of the principal dimensions.The results indicate that the genetic algorithm has great global optimization ability,and can effectively solve the single-objective optimization and the multi-objective optimization problems.The principal dimensions scheme that determined by the automatic optimization method based on the genetic algorithm has greater transport efficiency,showing that this approach can play an important role in the scheme demonstration and the overall performance optimization of the air cushion vehicle.
引文
[1]马涛,邬成杰.气垫船总体性能与围裙气垫系统流体动力设计[M].北京:国防工业出版社,2012:29-35.
[2]高山.大型全垫升气垫船设计初探[J].船舶,2008(4):1-4.
[3]郑楠,马涛.全垫升气垫船性能的优化分析[J].舰船科学技术,1993(6):14-21.
[4]吕世海,马涛.两条大型全垫升气垫船的流体动力性能比较[J].船舶,2005(1):16-21.
[5]陈雅菊.基于多目标遗传算法和主成分分析的船型主尺度论证[J].船海工程,2015(2):31-35.
[6]张宝吉,马坤.基于遗传算法的最小阻力船型优化设计[J].船舶力学,2011(4):325-331.
[7]周大伟,许辉.舰船主尺度论证中的多目标综合评估[J].中国舰船研究,2011(6):71-74.
[8]常海超,李振.基于Pareto遗传算法的船舶操纵性能多目标优化技术研究[J].船海工程,2008(5):10-13.
[9]Http://en.wikipedia.org/wiki/Test_functions_for_optimization[EB/OL].2018.
[2]高山.大型全垫升气垫船设计初探[J].船舶,2008(4):1-4.
[3]郑楠,马涛.全垫升气垫船性能的优化分析[J].舰船科学技术,1993(6):14-21.
[4]吕世海,马涛.两条大型全垫升气垫船的流体动力性能比较[J].船舶,2005(1):16-21.
[5]陈雅菊.基于多目标遗传算法和主成分分析的船型主尺度论证[J].船海工程,2015(2):31-35.
[6]张宝吉,马坤.基于遗传算法的最小阻力船型优化设计[J].船舶力学,2011(4):325-331.
[7]周大伟,许辉.舰船主尺度论证中的多目标综合评估[J].中国舰船研究,2011(6):71-74.
[8]常海超,李振.基于Pareto遗传算法的船舶操纵性能多目标优化技术研究[J].船海工程,2008(5):10-13.
[9]Http://en.wikipedia.org/wiki/Test_functions_for_optimization[EB/OL].2018.