Comparing multi-objective optimization techniques to calibrate a conceptual hydrological model using in situ runoff and daily GRACE data

DOI10.1007/S10596-018-9726-8zbMath1405.86012OpenAlexW2790207806WikidataQ130209183 ScholiaQ130209183MaRDI QIDQ1710372

Peng Zhang

Publication date: 22 January 2019

Published in: Computational Geosciences (Search for Journal in Brave)

Full work available at URL: https://research-information.bris.ac.uk/en/publications/938988f6-4901-4c1b-bc3a-8b066b5f950b

zbMATH Keywords

GRACEconceptual hydrological modeldaily total water storageevolutionary optimization techniquesGR4Jmulti-objective calibration

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Hydrology, hydrography, oceanography (86A05)

Related Items (1)

A new stopping criterion for multi-objective evolutionary algorithms: application in the calibration of a hydrologic model

Cites Work

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