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These are computed by a tailored implementation of constraint orbital branching, a method designed to exploit symmetry in integer programs.
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It discusses the various uses of constraints: (1) to model combinatorial optimization problem and to easily implement search procedures, (2) for supporting concurrent computations, and (3) to enable open implementations of constraints solvers.
Instead, we control the population size by a soft constraint that keeps the population constant on average but allows small fluctuations of N. The implementation of this constraint is described explicitly below.
More details about the implementation of this constraint in previous works can be found elsewhere [28,29].
One of them is that the implementation is partly based on an existing finite domain (FD) constraint solver, which provides a more efficient execution in some examples and, more important, the first complete implementation of disequality constraints over finite types.
A different response questions the implementation of externalist constraints in the argument.
Presently, benefits are being achieved through the implementation of optimizing, constraint-handling, model-predictive, control algorithms.
Some forthcoming investigations are eventually highlighted including the implementation of stress constraints to improve the presented designs for manufacturing.
This paper presents a novel frequency domain implementation of soft-constraint satisfaction multimodulus algorithm (FDSCS-MMA) for equalization of SC-FDMA.
The implementation of such constraints and their effects on a magnetic field model built from one year of CHAMP satellite and observatory data, are presented.
The present study investigates a method that uses a local implementation of the constraints that does not adversely affect the computational speed.
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