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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Bibliographische Detailangaben
1. Verfasser:	Yan, Shengquan, Ph.D.
Weitere Verfasser:	Minsker, Barbara.
Format:	Artikel
Sprache:	English
Schlagworte:	Algorithms Groundwater management Neural networks Optimization Remediation Sampling Stochastic processes Uncertainty principles
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

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

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