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...

The fuzzy particle swarm optimization (FPSO-RRB- algorithm is used to solve the logistics transportation time problem, a three-dimensional coding method based on receiving point, position sequence and rounding operation proposed, results are compared with those of algorithm. experimental show that can effectively optimize time.

in this paper, optimal distributed control of the time-dependent navier-stokes equations is considered. the control problem involves the minimization of a measure of the distance between the velocity field and a given target velocity field. a mixed numerical method involving a quasi-newton algorithm, a novel calculation of the gradients and an inhomogeneous navier-stokes solver, to find the opt...

This chapter concerns the use of convex optimization in real-time embedded systems, in areas such as signal processing, automatic control, real-time estimation , real-time resource allocation and decision making, and fast automated trading. By 'embedded' we mean that the optimization algorithm is part of a larger, fully automated system, that executes automatically with newly arriving data or c...

Introduction: Previously, 186Re and 188Re radioisotopes have been produced through appropriate activities, and each of them has been used for therapeutic applications. The 186Re and 188Re have unique properties, which make them proper for the treatment of  tumors in different sizes. The long-range 188Re, is suitabl...

The optimum fermentation times of black tea manufactured by two systems of Orthodox and CTC (cut, tear & curl) were investigated by measuring the quality parameters of black tea, like: theaflavin, thearubigin, highly  polymerized substances and total liquid colour during the fermentation stage. Optimum fermentation times from the beginning of fermentation were determined to be 60 min and 15...

a chaotic optimization algorithm (coa) based approach for the robust coordinated design of the upfc power oscillation damping controller and the conventional power system stabilizer has been investigated in this paper. chaotic optimization algorithms, which have the features of easy implementation, short execution time and robust mechanisms of escaping from local optimum, is a promising tool fo...

In this note we introduce the problem of assortment optimization over time. We have a sequence of time steps and can introduce one new product per time step. Once introduced a product can not be removed. The goal is to determine which products to introduce so as to maximize revenue over all time steps under some choice model. Given a 1/α-approximation algorithm for the capacitated assortment op...

optimization models have been used to support decision making in production planning for a long time. however, several of those models are deterministic and do not address the variability that is present in some of the data. robust optimization is a methodology which can deal with the uncertainty or variability in optimization problems by computing a solution which is feasible for all possible ...

In this paper, we present a search algorithm called real-time search for solving combinatorial optimization problems under real-time constraints. The problems we study are NP-hard and have good heuristic algorithms for generating feasible solutions. The algorithm we develop aims at finding the best possible solution in a given deadline. Since this objective is generally not achievable without f...