Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection

Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection

10.1007/s10898-015-0270-y

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書目詳細資料
Main Authors:	Akhtar, T, Shoemaker, C.A
其他作者:	NUS ENVIRONMENTAL RESEARCH INSTITUTE
格式:	Article
出版:	Springer New York LLC 2020
主題:	Algorithms Elastic moduli Evolutionary algorithms Function evaluation Functions Global optimization Groundwater Heat conduction Image segmentation Iterative methods Optimization Radial basis function networks Surface properties Evolutionary optimizations Function approximation Meta model Parallel Radial basis functions Multiobjective optimization
在線閱讀:	https://scholarbank.nus.edu.sg/handle/10635/179627
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	National University of Singapore

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