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MSCRP applies node states and deafness problem constraint.
This violates the deafness problem constraint, that is, two consecutive nodes serving the same flow should not be switching nodes.
This controller ensures the feasibility of the optimization problem, constraint satisfaction and asymptotic evolution of the system to any admissible steady-state.
After applying those states, the deafness problem constraint is defined as two consecutive nodes in a flow cannot be simultaneously at switching state.
Trade-off between energy consumption and additional node tasks (MSCRP's deafness problem constraint, BCCCS' list and table keeping, and STOD-RP's gateway node power usage) should be evaluated.
We present several novel hybrid classes of valued constraint problems in which all unary constraints are allowed, which include a machine scheduling problem, constraint problems of arbitrary arities with no overlapping nogoods, and the SoftAllDiff constraint with arbitrary unary valued constraints.
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The simulation results respecting the problem constraints were kept.
where the different terms refer to the problem constraints.
This analysis facilitates the identification of the problem constraints.
A suitable methodology for handling the problem constraints is also proposed.
Dynamic model and internal limitations of the system are part of the problem constraints.
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