This paper deals with the problem of optimizing two-stage structure decision making units (DMUs) where the activity and the performance of two-stage DMU in one period effect on its efficiency in the next period. To evaluate such systems the effect of activities in one period on ones in the next term must be considered. To do so, we propose a dynamic DEA approach to measure the performance of su...

many efforts have been made to model the the hot deformation (dynamic recrystallization) flow curves of different materials. phenomenological constitutive models, physical-based constitutive models and artificial neural network (ann) models are the main methods used for this purpose. however, there is no report on the modeling of warm deformation (dynamic spheroidization) flow curves of any kin...

Background Global health partnerships have grown rapidly in number and scope, yet there has been less emphasis on their evaluation. Gavi, the Vaccine Alliance, is one such public-private partnership; in Gavi-eligible countries partnerships are dynamic networks of immunization actors who work together to support all stages and aspects of Gavi support. This paper describes a conceptual framework ...

In this paper, with the aim of estimating internal dynamics matrix of a gimbaled Inertial Navigation system (as a discrete Linear system), the discretetime Hamilton-Jacobi-Bellman (HJB) equation for optimal control has been extracted. Heuristic Dynamic Programming algorithm (HDP) for solving equation has been presented and then a neural network approximation for cost function and control input ...

Abstract : In this paper , we apply the stochastic dynamic programming to approximate the mean project completion time in dynamic Markov PERT networks. It is assumed that the activity durations are independent random variables with exponential distributions, but some social and economical problems influence the mean of activity durations. It is also assumed that the social problems evolve in ac...

Kahn process network is a kind of data flow process networks. It is a computation model in which many concurrent processes communicate through unbounded FIFO buffer and can be executed simultaneously. In real time digital signal processing applications execution time is infinite. However, failures of implementation hardware can occur. In our work, dynamic run-time reconfiguration is introduced ...

One of the actions usually conducted to limit exposure a hazardous event is evacuation area that subject effects itself. This involves modifications both demand (a large number users all want move together) and supply (the transport network may experience changes in capacity, unusable roads, etc.). In order forecast traffic evolution during an evacuation, natural choice adopt approach based on ...

for any agency dealing with the design of the water distribution network, an economic design will be an objective. in this research, central force optimization (cfo) and differential evolution (de) algorithm were used to optimize ismail abad water distribution network. optimization of the network has been evaluated by developing an optimization model based on cfo and de algorithm in matlab and ...

Purpose Prior research on open innovation has not investigated changes in knowledge acquisition strategies of firms over time overlooking how learning from past can change subsequent search strategies. Also, prior focused principally product process innovation. The purpose the paper is to introduce concept dynamic openness, which defined as temporal external strategy. We explore four openness –...