In this paper, a new method based on genetic-fuzzy algorithm for multi-objective optimization is proposed. This method is successfully applied to several multi-objective optimization problems. Two examples are presented: the first example is the optimization of two nonlinear mathematical functions and the second one is the design of PI controller for control of an induction motor drive supplie...

a multi-objective optimization procedure has been developed to determine some kinetic parameters of free radical polymerization of vinyl acetate based on genetic algorithm. for this purpose, mathematical modeling of free radical polymerization of vinyl acetate is carried out first and then selected kinetic parameters are optimized by minimizing objective functions defined from comparing experim...

In this paper, we investigate the continuous time partial primal–dual gradient dynamics (P-PDGD) for solving convex optimization problems with form minx?X,y??f(x)+h(y),s.t.Ax+By=C, where f(x) is strongly and smooth, but h(y) non-smooth. Affine equality general set constraints are included. We prove existence of solution to P-PDGD its exponential stability. Then, bounds on decaying rates provide...

In this paper, a new method based on genetic-fuzzy algorithm for multi-objective optimization is proposed. This method is successfully applied to several multi-objective optimization problems. Two examples are presented: the first example is the optimization of two nonlinear mathematical functions and the second one is the design of PI controller for control of an induction motor drive supplie...