An interval uncertainty optimization algorithm based on radial basis function network differentiation

A new interval uncertainty optimization algorithm is proposed to replace two-layer nested optimization, owing to the low efficiency of the latter. The radial basis function network is established to obtain the first-order differential, which is difficult to achieve in practical engineering problems....

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Vydané v:	Engineering optimization Ročník 56; číslo 6; s. 896 - 918
Hlavní autori:	Yao, Yuwei, Wang, Liqun, Yang, Guolai, Li, Lei, Xu, Fengjie, Al-Zahrani, Ahmed
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Abingdon Taylor & Francis 02.06.2024 Taylor & Francis Ltd
Predmet:	Compression springs Electromagnetic buffer Genetic algorithms interval analysis network differential method nonlinear interval optimization Optimization Optimization algorithms Perturbation methods Radial basis function Sorting algorithms Uncertainty
ISSN:	0305-215X, 1029-0273
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