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船体双层底结构优化的粒子群优化算法
引用本文:秦洪德,石丽丽. 船体双层底结构优化的粒子群优化算法[J]. 大连海事大学学报(自然科学版), 2009, 35(4)
作者姓名:秦洪德  石丽丽
作者单位:哈尔滨工程大学,船舶工程学院深海工程技术研究中心,哈尔滨,150001;哈尔滨工程大学,船舶工程学院深海工程技术研究中心,哈尔滨,150001
摘    要:为优化船体双层底结构,在适于求解连续变量的标准粒子群优化算法(PSO)基础上,提出一种离散变量PSO算法,并利用标准PSO算法和离散变量PSO算法分别对测试函数和某大型油船双层底结构优化设计问题进行求解,该双层底结构的响应分析计算采用正交异性板计算模型实现.研究了不同取值的惯性权重和学习因子对优化结果的影响.通过对计算结果的对比分析,得出该离散变量PSO算法应用于船体板架结构优化设计时,其惯性权重和学习因子的最佳取值范围.

关 键 词:粒子群优化(PSO)算法  结构优化设计  船舶双层底结构  正交异性板

Analysis of PSO algorithm for optimum design of ship double bottom structures
QIN Hong-de , SHI Li-li. Analysis of PSO algorithm for optimum design of ship double bottom structures[J]. Journal of Dalian Maritime University, 2009, 35(4)
Authors:QIN Hong-de    SHI Li-li
Affiliation:QIN Hong-de,SHI Li-li(Deep Engineering Research Centre,College of Shipbuilding Engineering,Harbin Engineering University,Harbin 150001,China)
Abstract:A discrete variables particle swarm optimization(PSO)algorithm was developed to optimize the ship double bottom structures based on the standard PSO. The standard PSO and the discrete variables PSO algorithms were used respectively to optimize the test functions and the double bottom structure of VLCC. The ship double bottom structure was simplified into an orthotropic plate to perform the structural response analysis. The influences of different parameters such as inertia weight,learning factors on optimiz...
Keywords:particle swarm optimization(PSO)algorithm  optimization design of structure  ship double bottom structure  orthotropic plate  
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