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Metaheuristic

In computer science and mathematical optimization, a metaheuristic is a higher-level procedure or heuristic designed to find, generate, tune, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem or a machine learning problem, especially with incomplete or imperfect information or…

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Metaheuristic

Nodes79
Edges78
Triples147
Avg. degree1.97
Density0.025316
Components1

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Metaheuristic

Top relations

related to Contributions · 33
Metaheuristic → Barricelli, Cavicchio, Dorigo, Dueck, Evolution Strategies, Fogel, Fontanari, Glover, Hastings, Holland, Ingo Rechenberg, Kernighan, Kirkpatrick, Lin, Macready, Many, Matyas, Mead, Mercer, Metropolis
related to Metaheuristic Optimization Frameworks · 33
Metaheuristic → Algorithm, Comet, Discropt, DREAM, EasyLocal, EvA2, Evolutionary, FOM, GALIB, GAPlayground, HeuristicLab, HotFrame, Hypercube, JCLEC, JDEAL, JGAP, Localizer, MAFRA, MAGMA, MALLBA
related to Further reading · 23
Metaheuristic → Ashish Sharma, Fred, Glover, Handbook, Heuristics, History, In Martí, Information Sciences, ISBN, Kenneth, Marc, Mauricio, Metaheuristics, Nature Inspired Algorithms, Panos, Pardalos, PDF, Rafael, Randomized Hypercomputational Perspective, Resende
has application · 7
Metaheuristic → Additionally, An, In, Metaheuristics, Most, Not, The
related to Properties · 7
Metaheuristic → However, Metaheuristics, Modern, Techniques, The, These, They
related to External links · 6
Metaheuristic → EU/ME, Fred Glover, Kenneth Sörensen, Metaheuristics, Scholarpedia, Source
related to Local search vs. global search · 6
Metaheuristic → GRASP, However, Many, One, Such, These
related to Single-solution vs. population-based · 6
Metaheuristic → Another, Ant, Grey Wolf Optimization, Population-based, Single, Swarm
related to Nature-inspired and metaphor-based metaheuristics · 5
Metaheuristic → Another, As, Many, Nature, Such
related to Hybridization and memetic algorithms · 4
Metaheuristic → An, Both, Memetic, On

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Important terminology

metaheuristics optimization search algorithms solution problems many also local methods evolutionary algorithm problem combinatorial solutions glover population-based proposes include often

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Metaheuristicis ahigher-level procedure or heuristic designed to find0.90text
continuous or combinatorial optimizationinstance ofthey were often developed in relation to a problem class0.80text
then generalized later in some cases.They can draw on domain-specific knowledge in the form of heuristics that are controlled by a higher-level strategy of the metaheuristic.They can contain mechanisms that prevent them from getting stuck in certain areas of the search space.Modern metaheuristics often use the search history to control the searchinstance ofthey were often developed in relation to a problem class0.80text
genetic algorithm or evolution strategiesinstance ofevolutionary computation0.80text
particle swarm optimizationinstance ofevolutionary computation0.80text
rider optimization algorithminstance ofevolutionary computation0.80text
bacterial foraging algorithm.Single-solution vs. population-basedAnother classification dimension is single solution vs population-based searchesinstance ofevolutionary computation0.80text
bacterial foraging algorithminstance ofevolutionary computation0.80text
form-findinginstance ofincluding most design problems in engineering0.80text
behavior-findinginstance ofincluding most design problems in engineering0.80text
suffer from the curse of dimensionalityinstance ofincluding most design problems in engineering0.80text
which also makes them infeasible for exhaustive search or analytical methods.Metaheuristics are also frequently applied to scheduling problemsinstance ofincluding most design problems in engineering0.80text

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