大连海事大学学报
大連海事大學學報
대련해사대학학보
JOURNAL OF DALIAN MARITIME UNIVERSITY
2009年
4期
9-12,16
,共5页
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
粒子群優化(PSO)算法%結構優化設計%船舶雙層底結構%正交異性闆
입자군우화(PSO)산법%결구우화설계%선박쌍층저결구%정교이성판
particle swarm optimization (PSO) algorithm%optimization design of structure%ship double bottom structure%orthotropic plate
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.
為優化船體雙層底結構,在適于求解連續變量的標準粒子群優化算法(PSO)基礎上,提齣一種離散變量PSO算法,併利用標準PSO算法和離散變量PSO算法分彆對測試函數和某大型油船雙層底結構優化設計問題進行求解,該雙層底結構的響應分析計算採用正交異性闆計算模型實現.研究瞭不同取值的慣性權重和學習因子對優化結果的影響.通過對計算結果的對比分析,得齣該離散變量PSO算法應用于船體闆架結構優化設計時,其慣性權重和學習因子的最佳取值範圍.
위우화선체쌍층저결구,재괄우구해련속변량적표준입자군우화산법(PSO)기출상,제출일충리산변량PSO산법,병이용표준PSO산법화리산변량PSO산법분별대측시함수화모대형유선쌍층저결구우화설계문제진행구해,해쌍층저결구적향응분석계산채용정교이성판계산모형실현.연구료불동취치적관성권중화학습인자대우화결과적영향.통과대계산결과적대비분석,득출해리산변량PSO산법응용우선체판가결구우화설계시,기관성권중화학습인자적최가취치범위.
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 optimization were studied, and the optimal range of above parameters of discrete variables PSO for ship grillages structure are obtained by comparing and analyzing the calculation results.
