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Applying Dynamic Surrogate Models in Noisy Genetic Algorithms to Optimize Groundwater Remediation Designs

Yan, Shengquan

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Applying Dynamic Surrogate Models in Noisy Genetic Algorithms to Optimize Groundwater Remediation Designs

Yan, Shengquan

Applying Dynamic Surrogate Models in Noisy Genetic Algorithms to Optimize Groundwater Remediation Designs

Yan, Shengquan

Access

Check availability in my library

Order at Subito €

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Document information

Title:

Applying Dynamic Surrogate Models in Noisy Genetic Algorithms to Optimize Groundwater Remediation Designs

Contributors:

Yan, Shengquan (author) / Minsker, Barbara

Published in:

Journal of water resources planning and management ; 137

Publication date:

2011

ISSN:

Type of media:

Article (Journal)

Type of material:

Print

Language:

English

Keywords:

Wasserbau , Wasserversorgung , Zeitschrift , Hydrologie , Wasserwirtschaft

Classification:

BKL: 58.51 Abwassertechnik, Wasseraufbereitung / 56.35 Siedlungswasserwirtschaft, industrielle Wasserwirtschaft / 56.30 Wasserbau / 43.33 Umweltfreundliche Nutzung natürlicher Ressourcen
Local classification TIB: 770/6550

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