Lecture 25 hill climbing

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This document discusses hill climbing, an optimization technique used to find the best solution to a problem. It begins by explaining hill climbing search and its implementation. It then provides examples of applying hill climbing to solve the N-Queen problem and the 8-puzzle problem. The document notes some drawbacks of hill climbing and introduces random restart hill climbing as a variation that can help overcome local maxima issues.

Engineering

Random Restart Hill Climbing
• Generates different strating points when no
progress can be made from the previous point
• Saves the best result
• Can eventually find out the optimal solution if
enough iterations are allowed
• The fewer local mavima, the quiker it finds a
good solution
10

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