the hub location decision is a long term investment and any changes in it take considerable time and money. in real situations, some parameters are uncertain hence, deterministic models cannot be more efficient. the ability of two-stage stochastic programming is to make a long-term decision by considering effects of it in short term decisions simultaneously. in the two-stage stochastic programm...

this paper presents a probabilistic optimal power flow (popf) algorithm considering different uncertainties in a smart grid. different uncertainties such as variation of nodal load, change in system configuration, measuring errors, forecasting errors, and etc. can be considered in the proposed algorithm. by increasing the penetration of the renewable energies in power systems, it is more essent...

deregulation policy has caused some changes in the concepts of power systems reliability assessment and enhancement. in this paper, generation reliability is considered, and a method for its assessment using intelligent systems is proposed. also, because of power market and generators’ forced outages stochastic behavior, monte carlo simulation is used for reliability evaluation. generation reli...

One of the main tasks to analyze and design a mining system is predicting the behavior exhibited by prices in the future. In this paper, the applications of different prediction methods are evaluated in econometrics and financial management fields, such as ARIMA, TGARCH, and stochastic differential equations, for the time-series of monthly copper prices. Moreover, the performance of these metho...

Deregulation policy has caused some changes in the concepts of power system reliability assessment. This paper deals with generation reliability evaluation in perfect competition power market using market economic concepts and its dynamic. Also, because of power markets and generators’ forced outages stochastic behavior, Monte Carlo Simulation (MCS) is used in this research. Generation reliabil...

We consider a single-echelon, single-item inventory system where both demand and lead-time are stochastic. Continuous review policy is used to control the inventory system. The objective is to calculate the reorder point level under stochastic parameters. A case study is presented in Neonatal Intensive Care Unit. Keywords—Inventory control system, reorder point level, stochastic demand, stochas...

Since Pardoux and Peng firstly studied the following nonlinear backward stochastic differential equations in 1990. The theory of BSDE has been widely studied and applied, especially in the stochastic control, stochastic differential games, financial mathematics and partial differential equations. In 1994, Pardoux and Peng came up with backward doubly stochastic differential equations to give th...

In this article we propose a new technique for efficiently solving a specialized instance of a finite state sequential decision process. This specialized task requires keeping a system within a set of nominal states, introducing control actions only when forbidden states are entered. Instead of assuming that the process evolves only due to control actions, we assume that system evolution occurs...

Optimization problems occur in system designs with simulation applications. The decision variables are controllable system parameters of interest and the objective function is a system performance measure that can be estimated via simulation experiments. Using the estimates of objective function values to find the optimal point is called the stochastic optimization problem. The literature of su...