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

DOI10.1007/s10596-019-09870-3zbMath1425.86005OpenAlexW2983984239MaRDI QIDQ2009858

Daniela Santini Adamatti, Juan Martin Bravo, J. Carlos Gutiérrez

Publication date: 2 December 2019

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

Full work available at URL: https://doi.org/10.1007/s10596-019-09870-3

zbMATH Keywords

stopping criterionNSGA-IImulti-objective evolutionary algorithmNSGA-IIIlumped hydrologic modelSPEA-II

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Multi-objective and goal programming (90C29) Hydrology, hydrography, oceanography (86A05) Approximation methods and heuristics in mathematical programming (90C59)

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Uses Software

• SPEA2

Cites Work

• Comparing multi-objective optimization techniques to calibrate a conceptual hydrological model using in situ runoff and daily GRACE data
• A stopping criterion for multi-objective optimization evolutionary algorithms
• Stopping Criteria for Finite Length Genetic Algorithms
• Evolutionary Algorithms for Solving Multi-Objective Problems
• New stopping criterion for genetic algorithms

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