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  2. In computer science, local search is a heuristic method for solving computationally hard optimization problems. Local search can be used on problems that can be formulated as finding a solution maximizing a criterion among a number of candidate solutions.
    en.wikipedia.org/wiki/Local_search_(optimization)
    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. Whereas in maze solving, for example, we wanted to find the quickest way to the goal, local search is interested in finding the best answer to a question.
    cs50.harvard.edu/ai/2020/notes/3/
     
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    Local search (optimization) - Wikipedia

    Local search algorithms move from solution to solution in the space of candidate solutions (the search space) by applying local changes, until a solution deemed optimal is found or a time bound is elapsed. 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 problem a solution can be a route visiting all cities and the goal is to find the shortest route. But a solution can also be a path, … 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

    Local search is a sub-field of:
    Metaheuristics
    Stochastic optimization
    Optimization See more

    • Battiti, Roberto; Mauro Brunato; Franco Mascia (2008). Reactive Search and Intelligent Optimization. Springer Verlag. ISBN 978-0-387-09623-0. Archived from the original on … See more

     
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