PERFORMANCE EVALUATION OF CSARAO-1 HYBRID ALGORITHM ON ESTIMATING SPATIALLY DISTRIBUTED HYDRAULIC CONDUCTIVITY TENSORS IN A STEADY-STATE GROUNDWATER FLOW MODEL

W. TADJ, K. MOUATTAH, M. CHETTIH

Abstract


The present work compares the performance of three recent metaheuristic algorithms which are crow search algorithm, Rao-1 algorithm and the CSARao-1 hybrid algorithm in identifying spatially distributed hydraulic conductivities in a steady-state groundwater flow model. The employed algorithms were benchmarked on a hypothetical problem, and the identification process was conducted by combining each algorithm with the corresponding finite element model. Two inverse problems were analyzed; the first was based on errorless hydraulic head measurements, and the second on noisy measurements. The CSARao-1 hybrid algorithm was found to be the most efficient in terms of accuracy, robustness and speed of convergence.


Keywords


Metaheuristics, Finite element, Performance, Optimization, Hydraulic conductivity.

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References


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