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- Local search is a heuristic method used in computer science to solve computationally hard optimization problems1. For Windows search problems, you can try the following solutions2:
- Restart Windows Font Cache Service.
- Check for updates.
- Run the Search and Indexing troubleshooter.
- Restart Windows Search.
- Reset Windows Search.
- Regenerate the Microsoft.Windows.Search package AppData folder.
Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.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)Fix problems in Windows Search
- Solution 1: Restart Windows Font Cache Service Sometimes, you can resolve Windows Search issues by restarting Windows Font Cache Service. To do this, follow these steps: ...
- Solution 2: Check for updates ...
learn.microsoft.com/en-us/troubleshoot/windows-cli… - People also ask
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Local search (optimization) - Wikipedia
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. Local search algorithms move from solution to solution … See more
Some problems where local search has been applied are:
1. The vertex cover problem, in which a solution is a See moreLocal search is a sub-field of:
• Metaheuristics
• Stochastic optimization
• Optimization See moreMost problems can be formulated in terms of a search space and target in several different manners. For example, for the traveling salesman … 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 See more
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