We consider global optimization methods that are based on statistical modeling of the objective function: at each step of the optimization algorithm distribution of possible function values is deened for all candidate points and the next sampling point is selected in order to optimize average performance of the algorithm. It is diicult to estimate total eeect of sampling at a given point on alg...

The problem of the development of the state information stimulation system of Russian citizens’ socio-optimal actions is considered according to the optimum of collective utility function as criterion. Conceptual model of the system is formed according to the conditions of individual rationality, Pareto efficiency, nonmanipulability and dynamic quasi-optimality. The algorithms of the informatio...

A practical problem in spatial statistics is that of constructing spatial sampling designs for environmental monitoring networks. Among the several purposes for which a monitoring network may be designed for, there is that of interpolation. In this paper, a criterion for spatial designs that emphasize the utility of the network for spatial interpolation of a random field X is discussed. Within ...

This paper studies the dynamic behaviors of weak-grid-tied VSCs with simplified transfer functions, which provides an accurate stability analysis and useful indications for tuning system parameters. A reduced-order multi-input multi-output (MIMO) function that contains four single-input single-output (SISO) functions VSC is first presented. It found SISO share same equivalent open-loop function...

We investigate the problem of minimizing a certainty equivalent of the total or discounted cost over a finite and an infinite horizon which is generated by a Markov Decision Process (MDP). The certainty equivalent is defined by U−1(EU(Y )) where U is an increasing function. In contrast to a risk-neutral decision maker this optimization criterion takes the variability of the cost into account. I...

We investigate robust decision-making under utility uncertainty, using the maximin criterion, which optimizes utility for the worst case setting. We show how it is possible to efficiently compute the maximin optimal recommendation in face of utility uncertainty, even in large configuration spaces. We then introduce a new decision criterion, setwise maximin utility (SMMU), for constructing optim...

We investigate robust decision-making under utility uncertainty, using the maximin criterion, which optimizes utility for the worst case setting. We show how it is possible to efficiently compute the maximin optimal recommendation in face of utility uncertainty, even in large configuration spaces. We then introduce a new decision criterion, setwise maximin utility (SMMU), for constructing optim...

Grid computing allows users to locate computing resources and data dynamically during the computation. One of the main challenges in Grid computing is efficient selection of resources for the tasks submitted by users. Resource Selection is the most crucial phase in grid scheduling and resource management. The goal of selection is to identify list of authenticated resources that are available in...

Metal price is one of the most important parameters in the calculation of cut- off grade. The cut- off grade has the main role in determination of mine layout. Mine layout actuates mineable reserve, mine life and economic profitability. Not considering the uncertainty in metal prices can lead to a non-optimal layout. In this paper optimum underground mine layout is determined by expected utilit...