Applying dynamic surrogate models in noisy genetic algorithms to optimize groundwater remediation designs /

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Applying dynamic surrogate models in noisy genetic algorithms to optimize groundwater remediation designs /

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Détails bibliographiques
Auteur principal:	Yan, Shengquan, Ph.D.
Autres auteurs:	Minsker, Barbara.
Format:	Article
Langue:	English
Sujets:	Algorithms Groundwater management Neural networks Optimization Remediation Sampling Stochastic processes Uncertainty principles
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Thư viện lưu trữ:	Thư viện Trường Đại học Đà Lạt

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