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About Hill Climbing Search-1
Hill climbing is a heuristic search technique used in artificial intelligence problems to find good solutions. It examines neighboring solutions and moves to any that improve the cost or objective function. Simple hill climbing selects the first better neighbor as the new current state. Steepest ascent hill climbing examines all neighbors and selects the one closest to the goal. Problems can occur when hill climbing reaches a local maximum, plateau, or ridge rather than the global maximum. Techniques like backtracking, random jumps, and moving in multiple directions help overcome these obstacles.
Detailed Information
| Author: | ['Gaurav'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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