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- Hill_climbing abstract "In computer science, hill climbing is a mathematical optimization technique which belongs to the family of local search. It is an iterative algorithm that starts with an arbitrary solution to a problem, then attempts to find a better solution by incrementally changing a single element of the solution. If the change produces a better solution, an incremental change is made to the new solution, repeating until no further improvements can be found.For example, hill climbing can be applied to the travelling salesman problem. It is easy to find an initial solution that visits all the cities but will be very poor compared to the optimal solution. The algorithm starts with such a solution and makes small improvements to it, such as switching the order in which two cities are visited. Eventually, a much shorter route is likely to be obtained.Hill climbing is good for finding a local optimum (a solution that cannot be improved by considering a neighbouring configuration) but it is not necessarily guaranteed to find the best possible solution (the global optimum) out of all possible solutions (the search space). In convex problems, hill-climbing is optimal. Examples of algorithms that solve convex problems by hill-climbing include the simplex algorithm for linear programming and binary search.The characteristic that only local optima are guaranteed can be cured by using restarts (repeated local search), or more complex schemes based on iterations, like iterated local search, on memory, like reactive search optimization and tabu search, or memory-less stochastic modifications, like simulated annealing.The relative simplicity of the algorithm makes it a popular first choice amongst optimizing algorithms. It is used widely in artificial intelligence, for reaching a goal state from a starting node. Choice of next node and starting node can be varied to give a list of related algorithms. Although more advanced algorithms such as simulated annealing or tabu search may give better results, in some situations hill climbing works just as well. Hill climbing can often produce a better result than other algorithms when the amount of time available to perform a search is limited, such as with real-time systems.It is an anytime algorithm:it can return a valid solution even if it's interrupted at any time before it ends.".
- Hill_climbing thumbnail Hill_climb.png?width=300.
- Hill_climbing wikiPageExternalLink index.php?item=9.
- Hill_climbing wikiPageID "364002".
- Hill_climbing wikiPageLength "11237".
- Hill_climbing wikiPageOutDegree "49".
- Hill_climbing wikiPageRevisionID "702637278".
- Hill_climbing wikiPageWikiLink Anytime_algorithm.
- Hill_climbing wikiPageWikiLink Artificial_intelligence.
- Hill_climbing wikiPageWikiLink Best-first_search.
- Hill_climbing wikiPageWikiLink Binary_search_algorithm.
- Hill_climbing wikiPageWikiLink Candidate_solution.
- Hill_climbing wikiPageWikiLink Category:Optimization_algorithms_and_methods.
- Hill_climbing wikiPageWikiLink Category:Search_algorithms.
- Hill_climbing wikiPageWikiLink Computer_science.
- Hill_climbing wikiPageWikiLink Conjugate_gradient_method.
- Hill_climbing wikiPageWikiLink Convex_optimization.
- Hill_climbing wikiPageWikiLink Coordinate_descent.
- Hill_climbing wikiPageWikiLink File:Ridge.png.
- Hill_climbing wikiPageWikiLink Function_(mathematics).
- Hill_climbing wikiPageWikiLink Genetic_algorithm.
- Hill_climbing wikiPageWikiLink Gradient_descent.
- Hill_climbing wikiPageWikiLink Graph_(discrete_mathematics).
- Hill_climbing wikiPageWikiLink Greedy_algorithm.
- Hill_climbing wikiPageWikiLink Incremental_heuristic_search.
- Hill_climbing wikiPageWikiLink Iterated_local_search.
- Hill_climbing wikiPageWikiLink Line_search.
- Hill_climbing wikiPageWikiLink Linear_programming.
- Hill_climbing wikiPageWikiLink Local_optimum.
- Hill_climbing wikiPageWikiLink Local_search_(optimization).
- Hill_climbing wikiPageWikiLink Mathematical_optimization.
- Hill_climbing wikiPageWikiLink Maxima_and_minima.
- Hill_climbing wikiPageWikiLink Mean_shift.
- Hill_climbing wikiPageWikiLink Metaheuristic.
- Hill_climbing wikiPageWikiLink Motorsport.
- Hill_climbing wikiPageWikiLink Random_optimization.
- Hill_climbing wikiPageWikiLink Random_walk.
- Hill_climbing wikiPageWikiLink Reactive_search_optimization.
- Hill_climbing wikiPageWikiLink Simplex_algorithm.
- Hill_climbing wikiPageWikiLink Simulated_annealing.
- Hill_climbing wikiPageWikiLink Stochastic_hill_climbing.
- Hill_climbing wikiPageWikiLink Tabu_search.
- Hill_climbing wikiPageWikiLink Travelling_salesman_problem.
- Hill_climbing wikiPageWikiLink Vertex_(graph_theory).
- Hill_climbing wikiPageWikiLink Walrasian_auction.
- Hill_climbing wikiPageWikiLink File:Hill_Climbing_with_Simulated_Annealing.gif.
- Hill_climbing wikiPageWikiLink File:Hill_climb.png.
- Hill_climbing wikiPageWikiLink File:Local_maximum.png.
- Hill_climbing wikiPageWikiLinkText "Hill climbing".
- Hill_climbing wikiPageWikiLinkText "HillClimbing".
- Hill_climbing wikiPageWikiLinkText "hill climb".
- Hill_climbing wikiPageWikiLinkText "hill climbing".
- Hill_climbing wikiPageWikiLinkText "hill climbs".
- Hill_climbing wikiPageWikiLinkText "hill-climbing optimization".
- Hill_climbing wikiPageWikiLinkText "hillclimb".
- Hill_climbing wikiPageUsesTemplate Template:About.
- Hill_climbing wikiPageUsesTemplate Template:Clear.
- Hill_climbing wikiPageUsesTemplate Template:FOLDOC.
- Hill_climbing wikiPageUsesTemplate Template:Optimization_algorithms.
- Hill_climbing wikiPageUsesTemplate Template:Or.
- Hill_climbing wikiPageUsesTemplate Template:Reflist.
- Hill_climbing wikiPageUsesTemplate Template:Rp.
- Hill_climbing wikiPageUsesTemplate Template:Russell_Norvig_2003.
- Hill_climbing wikiPageUsesTemplate Template:Tree_search_algorithm.
- Hill_climbing wikiPageUsesTemplate Template:Wikibooks.
- Hill_climbing subject Category:Optimization_algorithms_and_methods.
- Hill_climbing subject Category:Search_algorithms.
- Hill_climbing hypernym Technique.
- Hill_climbing type TopicalConcept.
- Hill_climbing type Algorithm.
- Hill_climbing comment "In computer science, hill climbing is a mathematical optimization technique which belongs to the family of local search. It is an iterative algorithm that starts with an arbitrary solution to a problem, then attempts to find a better solution by incrementally changing a single element of the solution.".
- Hill_climbing label "Hill climbing".
- Hill_climbing sameAs Q820272.
- Hill_climbing sameAs Gradientní_algoritmus.
- Hill_climbing sameAs Bergsteigeralgorithmus.
- Hill_climbing sameAs Algoritmo_hill_climbing.
- Hill_climbing sameAs الگوریتم_تپهنوردی.
- Hill_climbing sameAs Hegymászó_algoritmus.
- Hill_climbing sameAs 山登り法.
- Hill_climbing sameAs m.01_s7x.
- Hill_climbing sameAs Претраживање_успоном.
- Hill_climbing sameAs Алгоритм_сходження_на_вершину.
- Hill_climbing sameAs Lubeligrämam.
- Hill_climbing sameAs Q820272.
- Hill_climbing sameAs 爬山算法.
- Hill_climbing wasDerivedFrom Hill_climbing?oldid=702637278.
- Hill_climbing depiction Hill_climb.png.
- Hill_climbing isPrimaryTopicOf Hill_climbing.