改进了基于接序优化研究的多目标粒子群集优化
Lei Dong1,2,3, Shimin Gu4, Jianwei Dong4
1Shenyang Institute of Computing Technology Chinese Academy of Sciences, Shenyang, China.
PloS one
|March 5, 2026
概括
优化船舶的接顺序可以减少变形和应力. 一个改进的算法 (IMaOPSO) 增强了传统方法,从而提高了船舶建造的接质量和效率.
科学领域:
- 海军建筑和海洋工程
- 计算工程 计算工程 计算工程
- 材料科学与工程 材料科学与工程
背景情况:
- 船舶部件的传统接顺序优化 (WSO) 方法往往不足,依赖于经验,导致变形和裂等问题.
- 在WSO中,复杂,多目标和非线性挑战需要先进的系统方法.
- 现有的优化算法可能会与造船WSO的高维度和特定约束作斗争.
研究的目的:
- 开发船舶结构部件的系统接顺序优化 (WSO) 方法.
- 将流程和几何约束集成到正式的优化框架中.
- 量化结构变形和残余应力作为关键优化目标.
主要方法:
- 开发一个改进的多目标粒子集群优化 (IMaOPSO) 算法.
- 增强经典的粒子群集优化 (PSO) 具有适应性模糊主导和精英引导的扰动,以改善融合和多样性.
- 使用SYSWELD软件进行模拟分析,以评估不同的接序列.
主要成果:
- 与已建立的算法 (NSGA-II,SPEA2,SMPSO) 相比,IMaOPSO算法显示出更高的收速度和稳定性.
- 一个船甲板结构的案例研究显示,使用优化序列,平均变形显著减少 (32.6%至62.2%).
- 提出的方法有效地解决了具有集成约束的高维的WSO问题.
结论:
- 开发的系统性WSO方法,由IMaOPSO提供动力,为复杂的造船挑战提供了强大的解决方案.
- 优化的接顺序通过减少变形和残余应力,显著提高了接质量.
- 这种方法对于提高造船效率和质量具有相当大的实际工程价值.
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