Incorporating subjective and stochastic uncertainty in an interactive multi-objective groundwater calibration framework

The interactive multi-objective genetic algorithm (IMOGA) combines traditional optimization with an interactive framework that considers the subjective knowledge of hydro-geological experts in addition to quantitative calibration measures such as calibration errors and regularization to solve the gr...

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Veröffentlicht in:	Stochastic environmental research and risk assessment 2010-08, Vol.24 (6), p.881-898
Hauptverfasser:	Singh, Abhishek, Walker, Douglas D., Minsker, Barbara S., Valocchi, Albert J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Aquatic Pollution Calibration Chemistry and Earth Sciences Computational Intelligence Computer Science Earth and Environmental Science Earth Sciences Environment Groundwater Hydrology Math. Appl. in Environmental Science Original Paper Physics Probability Theory and Stochastic Processes Statistics for Engineering Stochastic models Transmissivity Waste Water Technology Water Management Water Pollution Control
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