Optimizing flexible routing in flexible manufacturing systems is one of the aspects that increase the efficiency of flexible
manufacturing systems especially in dynamic environment systems. This article presents a multistage approach to solve
flexible routing problem in flexible manufacturing systems. Multistage approach includes three stages; the first stage is a
production simulation system to find the fitness of the flexible manufacturing systems corresponding to different products’

A control methodology based on a nonlinear control algorithm and optimization technique is presented in this paper. A controller called “the robust integral of the sign of the error” (in short, RISE) is applied to control chaotic systems. The optimum RISE controller parameters are obtained via genetic algorithm optimization techniques. RISE control methodology is implemented on two chaotic systems, namely, the Duffing-Holms and Van der Pol systems.

A control methodology based on a nonlinear control algorithm and optimization technique is presented in this paper. A controller
called “the robust integral of the sign of the error” (in short, RISE) is applied to control chaotic systems. The optimum RISE
controller parameters are obtained via genetic algorithm optimization techniques. RISE control methodology is implemented on
two chaotic systems, namely, the Duffing-Holms and Van der Pol systems. Numerical simulations showed the good performance of