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Local search algorithms (LSAs) focus on finding solutions in optimization problems without maintaining paths, using minimal memory. The hill-climbing algorithm, a type of LSA, continuously moves towards higher values but can get stuck at local maxima, ridges, or plateaux. Variations of hill climbing, such as stochastic and random-restart hill climbing, help navigate these challenges by introducing randomness in the search process.

Author
Mohammad Mottahir Alam
Language
EN

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