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Understanding Hill Climbing in AI by shubhrajkumar707 is a document available to read on EtoBox.
Hill climbing is a heuristic search algorithm in Artificial Intelligence used for optimization problems, focusing on incremental improvements to find the best solution. It operates by evaluating neighboring states and moving to the one that offers the highest improvement, though it can struggle with local maxima, plateaus, and ridges. The algorithm is simple, efficient, and applicable in various domains such as pathfinding, optimization, and machine learning.
- Author
- shubhrajkumar707
- Language
- EN