existed electricity grids deliver produced power to the consumer passing through transmission and distribution grids. According to high losses of these grids in transmission level and inexistence of bilateral interaction for simultaneous information exchange, a concept of smart grids were made by capabilities such as consciously participation of consumers in the smart electricity grids, an amou...

multi-echelon inventory systems are one of the most important and attractive areas in modelling supply chain management so that several researches and studies have been done about. in this paper, the total cost function of a two-echelon inventory system with central warehouse and many identical retailers controlled by continuous review inventory policy is estimated. we have assumed the demand i...

The uniformly minimum variance unbiased (UMVU), maximum likelihood, percentile (PC), least squares (LS) and weighted least squares (WLS) estimators of the probability density function (pdf) and cumulative distribution function are derived for the generalized Rayleigh distribution. This model can be used quite effectively in modelling strength data and also modeling general lifetime data. It has...

the most costly operation in the oil exploration is the well network drilling. one of the most effectiveways to reduce the cost of drilling networks is decreasing the number of the required wells byselecting the optimum situation of the rig placement. in this paper, balas algorithm is used as a modelfor optimizing the cost function in oil well network, where the vertical and directional drillin...

this paper addresses a multi-criteria decision based methodology to develop a road network cost function for route finding analysis in a geographic information system (gis). over the years, several studies relating to route planning process in gis and intelligent transportation systems (its) have been conducted, most of which rely on the use of one-dimensional variables like distance or time as...

A new cost function based on stochastic fuzzy discrimination information measure is introduced in this paper. Focusing on their significant parts, this cost function is used to find the optimal value of threshold for denoising image. It is, in fact, an extension of fuzzy entropy cost function by the present author. Multivariable normal distribution is used for creating focus on significant part...