The role played by human beings in complex computational systems it not exclusively that of an end user; they are often an integral resource in the functioning of the system, and an important factor in its overall performance. However, due to the purely human aspects of human resources that have no analog in computational resources, existing paradigms in dynamic computational resource allocatio...

We review the reasoning underlying two approaches to combination of sensory uncertainties. First approach is noncommittal, making no assumptions about properties of uncertainty or parameters of stimulation, as in Gepshtein, Tyukin, and Albright (2010). Then we explain the relationship between this approach and the one commonly used in modeling “higher level” aspects of sensory systems, such as ...

Healthcare resource planners need to develop policies that ensure optimal allocation of scarce healthcare resources. This goal can be achieved by forecasting daily resource requirements for a given admission policy. If resources are limited, admission should be scheduled according to the resource availability. Such resource availability or demand can change with time. We here model patient flow...

In this chapter, we describe the use of economic principles as the basis for Grid resource allocation policies and mechanisms. A computational economy in which users “buy” resources from their owners is an attractive method of controlling Grid resource allocation for several reasons. Economies are intuitively easy to understand, they fit the model of flexible resource usage under local control ...

in this study, under the constraint of resource-saving and environment-friendliness objective, based on multi-agent genetic algorithm, multi-objective spatial optimization (moso) model for land use allocation was developed from the view of simulating the biological autonomous adaptability to environment and the competitive-cooperative relationship. the model was applied to solve the practical m...

The Colorado River basin is facing a growing water shortage. Under fixed set of supply and demand conditions, we establish linear programming model based on time to solve the problem allocation. Take as objective function, get distribution coefficient α, β obtain from Hoover dam Glen Canyon dam. Finally it concluded that optimal function obtained when α 0.8 1.0. Dam 6947519530 m3 9309140232 m3.