How can I solve the N-Queens problem using local search techniques?
You can use local search techniques like hill climbing or simulated annealing to solve the N-Queens problem. Would you like a detailed explanation of one of these methods?
Yes, please explain the hill climbing method.
Hill climbing starts with a random configuration of queens on the board and iteratively moves to a neighboring configuration that has fewer conflicts. If no better neighbors exist, it stops.
What are the limitations of the hill climbing method?
The main limitation is that it can get stuck in local optima, meaning it might not find the best solution. Would you like to know about alternatives?
Yes, what are some alternatives to hill climbing?
Alternatives include simulated annealing, genetic algorithms, and backtracking. Each has its own strengths and weaknesses.
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