Estimating intrinsic formation constants of mineral surface species using a genetic algorithm

DOI10.1007/s11004-009-9259-8zbMath1184.86016OpenAlexW2148887887WikidataQ102411546 ScholiaQ102411546MaRDI QIDQ848934

Alfonso Mucci, Adrián Villegas-Jiménez

Publication date: 23 February 2010

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

Full work available at URL: https://doi.org/10.1007/s11004-009-9259-8

zbMATH Keywords

Adsorption equilibriaEvolutionary programmingHeuristic optimizationInverse modelingSurface complexation modeling and calibration

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Geostatistics (86A32)

Uses Software

• Genocop
• PHREEQC
• FITEQL
• UCODE
• PhreeqcRM

Cites Work

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• Feasibility analysis of the use of binary genetic algorithms as importance samplers application to a 1-D DC resistivity inverse problem
• Resolution analysis of general inverse problems through inverse Monte Carlo sampling
• Monte Carlo analysis of inverse problems

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