Levy flight-improved grey wolf optimizer algorithm-based support vector regression model for dam deformation prediction

Considering the strong non-linear time-varying behavior of dam deformation, a novel prediction model, called Levy flight-based grey wolf optimizer optimized support vector regression (LGWO-SVR), is proposed to forecast displacements hydropower dams. In used create whereas algorithm employed search penalty and kernel parameters for SVR. this work, multiple-arch was selected as case study. To validate predicted results model are compared with those derived from Grid Search algorithm, Particle Swarm Optimization, Grey Wolf Optimizer Genetic algorithm. The indicate that LGWO-SVR performs well in accuracy, stability, rate prediction. Therefore, suitable engineering application.