a) Heuristic function
b) Path cost from start node to current node
c) Path cost from start node to current node + Heuristic cost
d) Average of Path cost from start node to current node and Heuristic cost
Answer: a
Explanation: Greedy best-first search tries to expand the node that is closest to the goal, on the grounds that this is likely to lead to a solution quickly. Thus, it evaluates nodes by using just the heuristic function: f (n) = h(n).
Related Posts
Which approach is to pretend that a pure divide and conquer algorithm will work?
What is the other name of the backward state-space search?
What is the other name for forward state-space search?
How many ways are available to solve the state-space search?
Which is the most straightforward approach for planning algorithm?
Which function is used to calculate the feasibility of whole game tree?
Which is identical to the closed list in Graph search?
Join The Discussion