Optimization algorithms and methods

Guided local search

Guided local search is a metaheuristic search method. A meta-heuristic method is a method that sits on top of a local search algorithm to change its behavior. Guided local search builds up penalties during a search. It uses penalties to help local search algorithms escape from local minima and plateaus. When the given local search algorithm settles in a local optimum, GLS modifies the objective function using a specific scheme (explained below). Then the local search will operate using an augmented objective function, which is designed to bring the search out of the local optimum. The key is in the way that the objective function is modified. (Wikipedia).

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From playlist Local SEO Tutorials for Small Business

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LIDAR is a revolutionary landscape scanning technology that allows you to peel back the layers of jungle vegetation and reveal whatever is beneath it on the ground. ➡ Subscribe: http://bit.ly/NatGeoSubscribe ➡ Watch all clips of Explorer here: http://bit.ly/WatchExplorer ➡ Get More Explore

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If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.

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From playlist Technology

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Special thanks to archive.org for hosting these episodes. Downloads of all these episodes and more can be found at: http://archive.org/details/computerchronicles

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Related pages

Maxima and minima | Constraint satisfaction | Metaheuristic | Local search (optimization) | Tabu search | Multi-objective optimization | Quadratic assignment problem | Genetic algorithm