In human body movement simulation such as vertical jump by a forward dynamic model, optimal control theories must be used. In the recent years, new methods were created for solving optimization problems which they were adopted from animal behaviors and environment events such as Genetic algorithm, Particle swarm and Imperialism competitive. In this work, the skeletal model was constructed by Ne...

the dynamic nature of projects and the fact that they are carried out in changing environments, justify the need for their periodic monitoring and control. collection of information about the performance of projects at control points costs money. the corrective actions that may need to be taken to bring the project in line with the plan also costs money. on the other hand, penalties are usually...

this paper shows the role of the general dynamic model in empirical research of production technology in agriculture. the model is a first order autoregressive multivariate specification, first developed by anderson and blundell. this model is general enough to nest several simpler dynamic as well as static models within it. therefore, it provides a framework for applying classical testing ...

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 major problem of wind turbines is the great variability of wind power production. The dynamic change of the wind speed returns the quantity of the power injected to networks. Therefore, wind–thermal generation scheduling problem plays a key role to implement clean power producers in a competitive environment. In deregulated power systems, the scheduling problem has various objectives than i...

In this paper, power distribution planning (PDP) considering distributed generators (DGs) is investigated as a dynamic multi-objective optimization problem. Moreover, Monte Carlo simulation (MCS) is applied to handle the uncertainty in electricity price and load demand. In the proposed model, investment and operation costs, losses and purchased power from the main grid are incorporated in the f...

cement powder size classification efficiency significantly affects quality of final product and extent of energy consumption in clinker grinding circuits. static and dynamic or high efficiency air separators are being used widely in closed circuit with multi-compartment tube ball mills, high pressure grinding rolls (hpgr) and more recently vertical roller mills (vrm) units in cement plants to c...