Artificial Intelligence MCQs

Page No. 24

A genetic algorithm (or GA) is a variant of stochastic beam search in which successor states are generated by combining two parent states, rather than by modifying a single state.


aTrue


bFalse


cA & B


dNone of these


View Answer True

___________ algorithm keeps track of k states rather than just one.


aHill-Climbing search


b Local Beam search


cStochastic hill-climbing search


dRandom restart hill-climbing search


View Answer Local Beam search

Hill-Climbing approach stuck for which of the following reasons?


a Local maxima


bRidges


cPlateaux


dAll of the mentioned


View Answer All of the mentioned

Hill climbing sometimes called ____________ because it grabs a good neighbor state without thinking ahead about where to go next.


aNeedy local search


bHeuristic local search


cGreedy local search


dOptimal local search


View Answer Greedy local search

Stochastic hill climbing chooses at random from among the uphill moves; the probability of selection can vary with the steepness of the uphil1 move.


aTrue


b False


cA & B


dNone of these


View Answer True

What are the main cons of hill-climbing search?


aTerminates at local optimum & Does not find optimum solution


bTerminates at global optimum & Does not find optimum solution


c Does not find optimum solution & Fail to find a solution


dFail to find a solution



When will Hill-Climbing algorithm terminate?


aStopping criterion met


bGlobal Min/Max is achieved


cNo neighbor has higher value


d All of the mentioned



_______________ Is an algorithm, a loop that continually moves in the direction of increasing value – that is uphill.


aUp-Hill Search


bHill-Climbing


c Hill algorithm


dReverse-Down-Hill search


View Answer Hill-Climbing

A complete, local search algorithm always finds goal if one exists, an optimal algorithm always finds a global minimum/maximum.


aTrue


bFalse


cA & B


dNone of these


View Answer True

Though local search algorithms are not systematic, key advantages would include __________


aLess memory


b More time


cFinds a solution in large infinite space


dLess memory & Finds a solution in large infinite space



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