Understanding Hill Climber Algorithms in Artificial Intelligence 🤖

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.