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- W3146570122 abstract "这份报纸集中于一个方法用粒子群优化(PSO ) 解决结构的优化问题，代理人模型和贝叶斯的统计。PSO 是设计发现全球最佳的一个随机 / 随机的搜索算法。然而， PSO 与基于坡度的优化相比需要许多评估。这工具 PSO 增加结构的优化的分析费用。到在随机的优化的还原剂计算费用的方法之一是使用近似技术。在这个工作，代理人模型被使用，包括反应表面方法(RSM ) 和 Kriging。当代理人模型被使用时，在准确价值之间有一些错误并且接近价值。最佳的可靠性珍视的这些错误减少并且丢弃使用代理人模型的现实主义的近似。在这份报纸，贝叶斯的统计被用来获得更可靠的结果。为随机的结构的优化用代理人模型和贝叶斯的统计验证并且证实建议方法的效率，二个数字例子被优化，并且一个中心袖子的优化作为一个实际问题被表明。" @default.
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- W3146570122 date "2013-01-01" @default.
- W3146570122 modified "2023-09-24" @default.
- W3146570122 title "Stochastic structural optimization using particle swarm optimization, surrogate models and Bayesian statistics" @default.
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