| 基于粒子群算法的起重船扒杆结构优化设计 |
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| 引用本文： | 倪连超,陈震. 基于粒子群算法的起重船扒杆结构优化设计[J]. 船舶工程, 2014, 36(4): 21-24 |
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| 作者姓名： | 倪连超 陈震 |
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| 作者单位： | 上海交通大学 船舶海洋与建筑工程学院,上海交通大学 船舶海洋与建筑工程学院 |
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| 摘 要： | 基于Isight优化软件和通用有限元软件，以扒杆重量为目标函数，采用粒子群算法（PSO）和遗传算法对某起重船扒杆结构进行了优化设计，并讨论了PSO算法的稳定性。通过对两种算法优化结果的比较分析表明，PSO算法优化效果好，收敛速度快，且计算稳定性高，验证了PSO算法在工程船舶结构优化设计中的有效性。
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| 关 键 词： | 粒子群算法 结构优化 扒杆结构 |
| 收稿时间： | 2013-11-18 |
| 修稿时间： | 2014-01-21 |
Optimization Design of Crane Ship Boom Structure Based on Particle Swarm Optimization Algorithm |
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| Affiliation: | School of Naval Architecture,Ocean and Civil Engineering,Shanghai Jiaotong University,School of Naval Architecture,Ocean and Civil Engineering,Shanghai Jiaotong University |
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| Abstract: | Based on Isight (optimization software) and finite element software, particle swarm optimization (PSO) algorithm and genetic algorithm (GA) were applied to optimizing boom structure of a crane ship, with the total mass of the boom as objective function. The stability of PSO algorithm was also discussed in this paper. The comparison between PSO and GA indicates that PSO has better optimization result, faster convergence and higher stability, which verified the application of PSO for structural optimization of engineering ship. |
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| Keywords: | particle swarm optimization (PSO) structural optimization boom structure |
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