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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Bibliographic Details
Main Authors:	Akhtar, T, Shoemaker, C.A
Other Authors:	NUS ENVIRONMENTAL RESEARCH INSTITUTE
Format:	Article
Published:	Springer New York LLC 2020
Subjects:	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
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/179627
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Institution:	National University of Singapore

Description
Summary:	10.1007/s10898-015-0270-y