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Soft constraints are very flexible and expressive.
Hard constraints and soft constraints are considered.
We first handle rate constraints within a soft constraints framework.
Both hard and soft constraints can be implemented.
These implications of soft constraints are tested in two experiments.
In these problems, goals are modeled as soft constraints with utility values, and actions have costs.
Soft constraints determine which of the possible microstrategies are most likely to be selected.
The procedure involves soft constraints on receptor proteins providing limited chain flexibility, including backbone motions.
The problem is further complicated by various hard and soft constraints.
Soft constraints extend classical constraints to deal with non-functional requirements, over-constrained problems and preferences.
An optimum timetable will additionally satisfy soft constraints, which are not absolutely essential.
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