PSO algorithm is a novel random optimization method based on swarm intelligence which has more powerful ability of global optimization.
PSO算法是一种新型的基于群体智能的随机优化算法，简单易于实现且具有更强的全局优化能力。
The method of the paper can be used to random response analysis and optimization design of the structure with base isolation.
本文方法也可用于基础隔震结构和无损伤“加层减震”加固结构的随机地震响应分析与优化设计。
According to the uncertainty feature of the objective function and the constraint conditions, the theory and method of structure fuzzy random optimization design are introduced.
根据混凝土面板堆石坝结构设计问题中目标函数和约束条件所具有的不确定性性质，阐述了结构模糊随机优化设计的理论和方法。
The random test method and complex search method for optimization design in highway flexible pavement are used in this paper.
本文采用随机试验法和复形法进行公路柔性路面的优化设计。
By borrowing the ideas of population from genetic algorithms, we introduce an adaptive random search in quasi_Monte Carlo method (AQMC) for global optimization.
借用遗传算法中种群的概念，介绍了一种解全局优化的拟蒙特卡罗自适应搜索算法。
Based on the geometric meaning of the reliability index, the optimization method for the reliability computation is constructed, and the correlated abnormal distribution random fields are addressed.
对非正态分布、相关变量随机场进行了处理，依据可靠指标的几何意义建立了可靠度计算的优化算法。
The stochastic optimization method for skeletal structures with random parameters under random loads action is studied.
研究了随机杆系结构在随机荷载作用下的随机优化设计问题。
A new global optimization reliability method, knowledge-based clustered partitioning method (KCP) for reliability problems involving correlated non-normal random variables, is proposed.
提出了分析相关非正态变量可靠度问题一种新的全局优化方法——认知聚类分区方法。
A new global optimization reliability method, knowledge-based clustered partitioning method (KCP) for reliability problems involving correlated non-normal random variables, is proposed.
提出了分析相关非正态变量可靠度问题一种新的全局优化方法——认知聚类分区方法。
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