Artificial Intelligence: Hill Climber

Artificial Intelligence: Hill Climber

Artificial Intelligence: Hill Climber : This video describe the hill climber definition, types of Hill climber, disadvantages, overcome from disadvantages and Algorithm with example. br br br artificial intelligence hill climbing search algorithm br 1 hill climbing algorithm generally moves in the up direction of increasing value that is uphill br 2 hill climbing algorithm breaks its moving up loop when it reaches a peak where no neighbor has a higher value br 3 hill climbing algorithm does nit maintain a search tree br 4 hill climbing algorithm stores current node data structure this node record the state and its objective function value br 5 hill climbing search algorithm only looks out for immediate neighbor of current state br 6 hill climbing search algorithm is similar to local greedy search br br hill climbing search algorithm br br 1 hill climbing algorithm evaluate initial state, if its goal state quit, otherwise make current state as initial state br 2 select a operator that could generate a new state br 3 evaluate new state if closer to goal make it current state if not better ignore this state br 4 if current goal state than quit otherwise repeat.


User: techwithPrabind

Views: 5

Uploaded: 2017-05-04

Duration: 07:40