Abstract

A hybrid meta-heuristic optimization method is presented to efficiently find the optimal shape of concrete gravity dams including the dam-water-foundation rock interaction subject to earthquake loading. The proposed method is based on a hybrid of the gravitational search algorithm (GSA) and particle swarm optimization (PSO), which is called GSA-PSO. In order to reduce the computational cost of dam analysis subject to earthquake loading, a weighted least squares support vector machine (WLS-SVM) is employed to predict the dynamic response of gravity dams. Numerical results demonstrate the high performance of GSA-PSO for optimal shape design of dams.

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