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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.
     
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    A local search algorithm starts from a candidate solution and then iteratively moves to a neighboring solution; a neighborhood being the set of all potential solutions that differ from the current solution by the minimal possible extent. See more

    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 … 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 See more

    Some problems where local search has been applied are:
    1. The vertex cover problem, in which a solution is a 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

     
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