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2021 | OriginalPaper | Chapter

7. Interval Optimization Based on Approximation Models

Authors : Chao Jiang, Xu Han, Huichao Xie

Published in: Nonlinear Interval Optimization for Uncertain Problems

Publisher: Springer Singapore

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Abstract

This chapter creates two nonlinear interval optimization methods based on the approximation model management strategy and the local-densifying approximation technique, respectively. Both the methods can greatly improve the computational efficiency of interval optimization by using approximation models, but different strategies are selected to guarantee accuracy during the iteration.

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Metadata
Title
Interval Optimization Based on Approximation Models
Authors
Chao Jiang
Xu Han
Huichao Xie
Copyright Year
2021
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-8546-3_7

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