this study is investigated the optimum parameters for a tuned mass damper (tmd) under the seismic excitation. shuffled complex evolution (sce) is a meta-heuristic optimization method which is used to find the optimum damping and tuning frequency ratio for a tmd. the efficiency of the tmd is evaluated by decreasing the structural displacement dynamic magnification factor (ddmf) and acceleration ...

rainfall-runoff modeling is most important component in the water resource management of river basins. the successful application of a conceptual rainfall-runoff model depends on how well it is calibrated. the degree of difficulty in solving the global optimization method is generally dependent on the dimensionality of the model and certain of the characteristics of object function. the purpose...

This paper focuses on the development of a new backcalculation method for concrete pavements based on a hybrid evolutionary global optimization algorithm, namely Shuffled Complex Evolution (SCE). Evolutionary optimization algorithms are ideally suited for intrinsically multi-modal, non-convex, and discontinuous realworld problems such as pavement backcalculation because of their ability to expl...

The job shop problem is an important part of scheduling in the manufacturing industry. A new intelligent algorithm named Shuffled Complex Evolution (SCE) algorithm is proposed in this paper with the aim of getting the minimized makespan. The sequence mapping mechanism is used to change the variables in the continuous domain to discrete variables in the combinational optimization problem; the se...

This study is investigated the optimum parameters for a tuned mass damper (TMD) under the seismic excitation. Shuffled complex evolution (SCE) is a meta-heuristic optimization method which is used to find the optimum damping and tuning frequency ratio for a TMD. The efficiency of the TMD is evaluated by decreasing the structural displacement dynamic magnification factor (DDMF) and acceleration ...

The Shuffled Complex Evolution (SCE-UA) method has been widely applied for calibration of rainfall-runoff models and has been shown to be robust and efficient search algorithm. In spite of its superiority, since many commonly used rainfallrunoff models have large simulation times, the use of model calibrating algorithms may become impractical due to the high computational time involved. This wo...

in recent decades, evolutionary algorithms have been applied successfully in various water resource engineering and management issue especially in optimal operation of reservoirs. in this paper, a model based on shuffled complex evolution (sce) algorithm has been developed for modeling optimal operation of complex multi reservoir system of karkheh basin. the system includes 4 different agricult...

Accurate prediction of fresh concrete slumps is a complex non-linear problem that depends on several parameters including time, temperature, and shear history. It also affected by the mixture design various ingredients. This study investigates efficiency three novel integrative approaches for predicting this parameter. To end, vortex search algorithm (VSA), multi-verse optimizer (MVO), shuffled...

The difficulties involved in calibrating conceptual watershed models have, in the past, been partly attributable to the lack of robust optimization tools. Recently, a global optimization method known as the SCE-UA (shuffled complex evolution method developed at The University of Arizona) has shown promise as an effective and efficient optimization technique for calibrating watershed models. Exp...