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  2. Learn Data Structures and Algorithms | DSA TutorialLearn more about Searching Algorithms in DSA Self Paced CoursePractice Problems on Searching AlgorithmsTop Quizzes on Searching Algorithms

    What is Searching Algorithm?

    Searching Algorithms are designed to check for an element or retrieve an element from any data structure where it is stored.

    Based on the type of search operation, these algorithms are generally classified into two categories:

    1. Sequential Search: In this, the list or array is traversed sequentially and every element is checked. For ...

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    Local search (optimization) - Wikipedia

    Local search is a sub-field of: MetaheuristicsStochastic optimizationOptimization Fields within local search include: Hill climbingSimulated annealing (suited for either local or global search)Tabu searchLate acceptance hill climbingReactive search optimization (combining machine learning and local search … See more

    In computer science, local search is a heuristic method for solving computationally hard optimization problems. Local … See more

    Most problems can be formulated in terms of a search space and target in several different manners. For example, for the traveling salesman … See more

    Some problems where local search has been applied are:
    1. The vertex cover problem, in which a solution is a vertex cover of a graph, and the target is to find a … See more

    • Battiti, Roberto; Mauro Brunato; Franco Mascia (2008). Reactive Search and Intelligent Optimization. Springer Verlag. ISBN See more

     
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  4. Local Search Algorithms in AI: A Comprehensive Guide

  5. Local Search Algorithm In Artificial - Scaler

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    What is local search algorithm in artificial intelligence?The local search algorithm in artificial intelligence is a family of optimization algorithms used to find the best possible solution to a problem by iteratively making small changes to an initial solution. These algorithms are used to solve optimization problems in which an exact solution is either impossible to find or computationally expensive.
    What are the different types of local search algorithms?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 examples of different kinds of local search algorithms.
    How does a local search algorithm work?A local search algorithm operates in a way which should be familiar to those of you with some optimization background: we start with some feasible solution (which may be very far from optimal), and then we make \local" improvements that maintain feasibility until we get stuck at some \local optimum".
    Does the local search algorithm work for perfectly optimized problems?The local search algorithm does indeed function for perfectly optimized problems. Any node that can provide a solution can be said to have a pure optimization problem. But the objective function's objective is to identify the best state among all of them.
  7. Local Search Algorithm - an overview | ScienceDirect Topics

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