types of local search - Search
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  2. Local search algorithms are essential tools in artificial intelligence and optimization, employed to find high-quality solutions in large and complex problem spaces. Key algorithms include Hill-Climbing Search, Simulated Annealing, Local Beam Search, Genetic Algorithms, and Tabu Search.
    www.geeksforgeeks.org/local-search-algorithm-in-artificial-intelligence/
    www.geeksforgeeks.org/local-search-algorithm-in-artificial-intelligence/
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    Sep 25, 2023 · Learn about local search algorithms in AI, their working principle, and different types, such as hill climbing, local beam search, and simulated annealing. See how they are applied to solve the travelling salesman problem …

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    Sep 30, 2024 · For highly complex problems with ample search space, methods like local beam search or genetic algorithms are often more effective as they explore multiple paths simultaneously, increasing the chances of finding a high …

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    Jun 14, 2023 · These algorithms are used to solve optimization problems in which an exact solution is either impossible to find or computationally expensive. Hill climbing, simulated annealing, tabu search, and genetic algorithms are a few …

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    Jul 2, 2024 · Local Search. Local search is a search algorithm that maintains a single node and searches by moving to a neighboring node. This type of algorithm is different from previous types of search that we saw.

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