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- Metaheuristic abstract "In computer science and mathematical optimization, a metaheuristic is a higher-level procedure or heuristic designed to find, generate, or select a lower-level procedure or heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem, especially with incomplete or imperfect information or limited computation capacity. Metaheuristics may make few assumptions about the optimization problem being solved, and so they may be usable for a variety of problems.Compared to optimization algorithms and iterative methods, metaheuristics do not guarantee that a globally optimal solution can be found on some class of problems. Many metaheuristics implement some form of stochastic optimization, so that the solution found is dependent on the set of random variables generated. By searching over a large set of feasible solutions, metaheuristics can often find good solutions with less computational effort than algorithms, iterative methods, or simple heuristics. As such, they are useful approaches for optimization problems. Several books and survey papers have been published on the subject.Most literature on metaheuristics is experimental in nature, describing empirical results based on computer experiments with the algorithms. But some formal theoretical results are also available, often on convergence and the possibility of finding the global optimum. Enormously many metaheuristic methods have been published with claims of novelty and practical efficacy. Unfortunately, many of the publications have been of poor quality; flaws include vagueness, lack of conceptual elaboration, poor experiments, and ignorance of previous literature. The field also features high-quality research.".
- Metaheuristic thumbnail Metaheuristics_classification.svg?width=300.
- Metaheuristic wikiPageExternalLink Bem-vindo.html.
- Metaheuristic wikiPageExternalLink www.metaheuristics.eu.
- Metaheuristic wikiPageID "774458".
- Metaheuristic wikiPageRevisionID "605933973".
- Metaheuristic hasPhotoCollection Metaheuristic.
- Metaheuristic subject Category:Mathematical_optimization.
- Metaheuristic subject Category:Operations_research.
- Metaheuristic subject Category:Metaheuristics.
- Metaheuristic type Abstraction100002137.
- Metaheuristic type Act100030358.
- Metaheuristic type Activity100407535.
- Metaheuristic type Event100029378.
- Metaheuristic type Heuristic105847956.
- Metaheuristic type Heuristics.
- Metaheuristic type Procedure101023820.
- Metaheuristic type PsychologicalFeature100023100.
- Metaheuristic type Rule105846932.
- Metaheuristic type YagoPermanentlyLocatedEntity.
- Metaheuristic comment "In computer science and mathematical optimization, a metaheuristic is a higher-level procedure or heuristic designed to find, generate, or select a lower-level procedure or heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem, especially with incomplete or imperfect information or limited computation capacity.".
- Metaheuristic label "Meta-heurística".
- Metaheuristic label "Metaheuristic".
- Metaheuristic label "Metaheuristik".
- Metaheuristic label "Metaheurystyka".
- Metaheuristic label "Metaheurística".
- Metaheuristic label "Métaheuristique".
- Metaheuristic label "Метаалгоритм".
- Metaheuristic label "メタヒューリスティクス".
- Metaheuristic sameAs Metaheuristik.
- Metaheuristic sameAs Metaheurística.
- Metaheuristic sameAs Métaheuristique.
- Metaheuristic sameAs メタヒューリスティクス.
- Metaheuristic sameAs 메타_휴리스틱.
- Metaheuristic sameAs Metaheurystyka.
- Metaheuristic sameAs Meta-heurística.
- Metaheuristic sameAs m.03bg3t.
- Metaheuristic sameAs Q1385229.
- Metaheuristic sameAs Q1385229.
- Metaheuristic sameAs Metaheuristic.
- Metaheuristic wasDerivedFrom Metaheuristic?oldid=605933973.
- Metaheuristic depiction Metaheuristics_classification.svg.
- Metaheuristic isPrimaryTopicOf Metaheuristic.