[Part6 Theory] Circuit Constraint and Optimization in CP

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La contraseña correcta es

Responda a todas las preguntas. Error interno {} no tiene una extensión válida. {} es muy pesado.

Pregunta 1: Filtering a Circuit Constaint

Assume the fixing x[6]=7 occurs. Who will remove the value 7 from the domain of x[12] ?

The Sum constraint

The subtour-elimination filtering

The Alldifferent constraint

The Element constraint

Pregunta 2: Subtour Elimination Filtering

What additional edge will be removed by the subtour-elimination filtering algorithm for the Circuit constraint if the fixing x[6]=7 occurs?

0 -> 12

6 -> 8

4 -> 0

12 -> 0

8 -> 6

0 -> 4

Pregunta 3: Circuit Filtering

Select all the statements that are true:

The subtour-elimination filtering algorithm runs in O(n) time in the worst case, which can be lowered to O(number of new fixed variables).

The consistency test that verifies that there is a unique strongly connected component can be achieved in O(n) time, where n is the number of variables in the scope of the Circuit constraint.

Achieving domain consistency for a Circuit constraint is an NP-hard problem.

Pregunta 4: Large Neighborhood Search

Select all the true statements:

A restart in LNS is always caused by reaching the limit on the number of failures.

The first solution with LNS needs to be found by CP.

LNS is a local-search approach where CP can be used to explore the neighborhood.

Increasing the number of relaxed variables increases the time between two restarts.

A restart in LNS can be caused because the restricted problem has been exhaustively explored.

LNS with a relaxation of 5% of randomly selected variables can always prove the optimality if enough restarts are performed.

Increasing the failure limit and the number of relaxed variables augments the time between two restarts.

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