Razmjooy, N., Ramezani, M.: Analytical solution for optimum controller by the second type Chebyshev polynomials expansion. Razmjooy, N., Ramezani, M.: A better quantum evolutionary algorithm according to invasive marijuana optimization. The presented technique relies on a period extension of Chebyshev polynomials where its coefficients are attained by world cup optimisation algorithm, as a brand new optimization algorithm. The proposed solution is based on state parameterization, like the state variable is approximated by the proposed period Chebyshev polynomials with unfamiliar period coefficients. Alipouri, Y., Poshtan, J.: Robust minimum variance lower bound estimation by uncertainty modeling using period Type2 fuzzy set. Interval arithmetic can also be utilized for developing the proposed procedure in the presence of doubts with only lower and upper boundaries of parameters. In the proposed method, the equation of motion, performance indicator, and boundary conditions are first changed into a algebraic equations.

The empirical model is formatted based on previous literature concentrated on predicting countries’ success at the Olympics. Chen, E., Cao, H., Wang, K., Jafar, S., He, Q.: Technological updating decision-making version for EcoFactory through programming. Sweaty feet from hard practices lead to a myriad of issues for your feet. After consulting with his doctor, Lavine stopped the blood pressure medication he had been taking for more than six months with no problems. Grounded in an investigation of urban growth in the host city of Volgogradthis paper shows that the intersection of state-led advancement instincts, neoliberal rhetoric, and local demands led to a mega-event that highlighted a narrow kind of development over more substantial interventions which might have benefited the host population more efficiently. Unlike a number of other mega-events, this World Cup was orchestrated from the central state, though utilizing neoliberal rhetoric to legitimize a broad urban improvement program aimed at modernizing peripheral host towns. This paper investigates the preparations for the 2018 Guys ‘s Football World Cup in Russia throughout the lens of neoliberal urban entrepreneurialism.

It must be your first movement before you really go and purchase one. They have to be cautious to maintain the defensive shape and balance the shield in order that they don’t leave themselves exposed while not being directly involved with winning the ball back. The final results suggest that in order for nations to reevaluate their demographic and financial characteristics they need to aggressively finance their own teams. This paper assesses the results in the past 12 seasons of the FIS Alpine World Cup, in order to investigate what demographic and economic characteristics have the most predictive power in determining achievement. Hosseini, H., Tousi, B., Razmjooy, N.: Application of fuzzy subtractive clustering for optimum transient performance of automatic generation control in restructured electricity system. Final results denoted the presented multiobjective optimization algorithm improves the standard of the image comparison and can show more details and data toward the other than the approaches. Razmjooy, N., Khalilpour, M., Ramezani M.: A new meta-heuristic optimization algorithm inspired by FIFA World Cup competitions: concept and its application in PID designing for AVR system.

Razmjooy, N., Ramezani, M., Nazari, E.: Applying LQG/LTR optimal control method for auto suspension system. The proposed process approximates the control and condition variables as a function of time. Finally, by resolving the baseline problem in the existence of interval doubts, the efficacy and effectiveness of the proposed method are shown. Within this paper, an efficient numerical approach is designed for solving the baseline problem with period uncertainties. Olegovna, O.V.: Interval optimum control problem in a Hilbert space. W. A.: Necessary condition for optimal control problem with this interval-valued objective function. This method converts the problem into an optimization problem. Jesus de, M.A., Estrela, V.V., Saotome, O., Stutz, D.: Super-resolution through particle swarm optimisation variations. Yuta, O., Kashima, K., Ohta, Y.: Iterative path integral method of nonlinear stochastic optimal control under chemical poisson noise. Salem, N.B., Trimeche, K.: Mehler integral transforms associated with Jacobi functions with regard to the dual factor. Surprisingly the snowfall variable was not significant. The results indicate that GDP Per Capita is the most important factor when predicting success.

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