Among these quantitative schemes, constraint-based modeling is an appropriate formalism for exploring the cellular metabolic activity and guiding experiments to improve cellular behavior in a rational, coherent and optimal fashion [ 7, 8, 19, 20].
In particular, we show how to design a coalitional scheme with constraints regarding the Banzhaf value.
In the Lagrangian dual decomposition-based resource allocation scheme [14], constraints on cross-tier interference are used in power allocation, but subchannels are assigned randomly to femto users.
Different weighting scheme and constraints will lead to a different kind of harmonic field.
In this paper, we introduce a novel scheme for constraint handling, wherein every solution is assigned a random sequence of constraints and the evaluation process is aborted whenever a constraint is violated.
We assume that the Node B has a maximum transmit power constraint Pmax and the user has a minimum modulation and coding scheme (MCS) constraint θmin which can be viewed as the QoS requirements.
By considering the effect and the cost, an optimal control scheme with constraint on the admissible control set is put forward.
Classification of P2P content delivery schemes, topology constraints, categories of data topology and delivery path, P2P caching, and so on is reviewed.
Most of these methods employ harmonic field theory and similar user interfaces, but they are different in computational weighting scheme and constraint styles.
The ill-posedness requires expensive regularization schemes or constraints on the optimization problem, while the non-linearity is traditionally addressed with linear approximations or computationally intensive non-linear forward models.
