emission trading is one of the famous mechanisms under kyoto protocol to control environmental pollution. the aim of this paper is to design a strategic supply chain network under emission trading scheme with inclusion of stochastic parameters and budget limitation. demand and price of carbon credits are considered as the important stochastic parameters influencing the supply chain network. in ...

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...

This paper presents an optimum design methodology for obtaining the highest robust performance using fuzzy multi-objective formulation strategy. The target performance and its variation, as functions of normally distributed variables with stochastic independence, are simultaneously minimized in this design process. A functional representation of the variability of the performance and the comput...

Over-sampling sigma-delta analog-todigital converters (ADCs) are one of the key building blocks of state of the art wireless transceivers. In sigma-delta modulator design, the scaling coefficients determine the peak signal-to-noise ratio. Therefore, selecting the optimum value of the coefficient is very important. To this end, this paper addresses the design of a fourth-order multi-bit sigma-de...

Due to the probabilistic nature and uncertainties of structural parameters, reliability-based optimization will enable engineers to account for the safety of the structures and allow for its decision making applicability. Thus, reliability-based design will substitute deterministic rules of codes of practice. Space structures are of those types that have an exceedingly high range of applicabili...

The finding a maximum or a minimum function problem under some constraint conditions are called optimization problem. Almost every engineering design problem can be formulated as optimum problems. Solving the optimum problem requires the computation of the global maxima or minima of the objection function. Many heuristic intelligent algorithms had been developed and adapted to several optimal d...

This paper presents a decision making approach for mid-term scheduling of large industrial consumers based on the recently introduced class of Stochastic Dominance (SD)- constrained stochastic programming. In this study, the electricity price in the pool as well as the rate of availability (unavailability) of the generating unit (forced outage rate) is considered as uncertain parameters. Th...

A structural optimization criterion for linear mechanical systems subject to random vibrations is presented for supporting engineer’s design. It is based on a multiobjective approach whose Objective Function (OF) vector is done by stochastic reliability performance and structural cost indices. The first ones are structural reliabilities, and are evaluated for one or more failure types; they are...

In multidisciplinary analysis and optimization response surface approximations are frequently applied. An important reason is that response surface techniques provide a convenient representation of data from one discipline to other disciplines [1]. In each discipline usually one or more computationally expensive computer simulation models are involved. The response surface approximations are us...