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2021 | OriginalPaper | Chapter

4. Interval Optimization Based on Hybrid Optimization Algorithm

Authors : Chao Jiang, Xu Han, Huichao Xie

Published in: Nonlinear Interval Optimization for Uncertain Problems

Publisher: Springer Singapore

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Abstract

By combining the genetic algorithm (GA) with the artificial neural network (ANN), this chapter establish two hybrid optimization algorithms to solve the nested optimization problem after transformation, based on which two efficient nonlinear interval optimization methods are developed.

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Metadata
Title
Interval Optimization Based on Hybrid Optimization Algorithm
Authors
Chao Jiang
Xu Han
Huichao Xie
Copyright Year
2021
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-8546-3_4

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