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Hill Climbing Algorithm in AI Explained by Afaque Alam is a document available to read on EtoBox.
The hill climbing algorithm is a local search algorithm that continuously moves in the direction of increasing value to find the optimal solution. It terminates when no neighbor has a higher value than the current state. There are different types of hill climbing algorithms such as simple hill climbing, steepest ascent hill climbing, and stochastic hill climbing. Some problems with hill climbing include getting stuck in local maxima or plateaus. Simulated annealing is a variant of hill climbing that can hel
- Author
- Afaque Alam
- Language
- EN