提出复合非光滑优化问题的一类算法,并证明这种算法保持全局收敛性且敛速达到超线性。
This paper discusses a model algorithm for composite nonsmooth optimization problems and proves that the algorithm holds global convergence and in the meantime the convergent rate is superlinear.
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。
A new global optimization reliability method, knowledge-based clustered partitioning method (KCP) for reliability problems involving correlated non-normal random variables, is proposed.
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