About: Memetic algorithm

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A memetic algorithm (MA) in computer science and operations research, is an extension of the traditional genetic algorithm. It may provide a sufficiently good solution to an optimization problem. It uses a local search technique to reduce the likelihood of premature convergence.

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rdfs:label	Memetic algorithm (en)
rdfs:comment	A memetic algorithm (MA) in computer science and operations research, is an extension of the traditional genetic algorithm. It may provide a sufficiently good solution to an optimization problem. It uses a local search technique to reduce the likelihood of premature convergence. (en)
sameAs	Memetic algorithm Memetic algorithm
dbp:wikiPageUsesTemplate	dbt:Citation_needed dbt:ISBN dbt:Reflist dbt:Evolutionary_algorithms
Subject	Evolutionary algorithms
prov:wasDerivedFrom	http://en.wikipedia.org/wiki/Memetic_algorithm?oldid=1071110687&ns=0
Wikipage page ID	3989208 (xsd:integer)
page length (characters) of wiki page	25558 (xsd:nonNegativeInteger)
Wikipage revision ID	1071110687 (xsd:integer)
Link from a Wikipage to another Wikipage	Local search (optimization) NP-completeness Nurse scheduling problem Very Large Scale Integration Algorithm Artificial neural network Bin packing problem Universal Darwinism Business analytics Evolutionary algorithms Gene expression profiling Generalized assignment problem Genetic algorithm Genotype Dual-phase evolution Hill climbing Quadratic assignment problem Set cover problem Charged particle beam Nucleoid Circuit design Hyper-heuristic Premature convergence Cluster analysis Combinatorial optimization Computer science Conjugate gradient method Heuristic Motion planning National Hockey League Operations research Optimization problem Data science Graph coloring Graph partition Independent set (graph theory) Schedule (workplace) Evolutionary algorithm Evolutionary computation Expert system Feature selection Interior-point method Travelling salesman problem Knapsack problem Meme Pattern recognition Richard Dawkins Single-machine scheduling dbr:Pablo_Moscato dbr:Processor_allocation
has abstract	A memetic algorithm (MA) in computer science and operations research, is an extension of the traditional genetic algorithm. It may provide a sufficiently good solution to an optimization problem. It uses a local search technique to reduce the likelihood of premature convergence. Memetic algorithms represent one of the recent growing areas of research in evolutionary computation. The term MA is now widely used as a synergy of evolutionary or any population-based approach with separate individual learning or local improvement procedures for problem search. Quite often, MAs are also referred to in the literature as Baldwinian evolutionary algorithms (EAs), Lamarckian EAs, cultural algorithms, or genetic local search. (en)
foaf:isPrimaryTopicOf	http://en.wikipedia.org/wiki/Memetic_algorithm
is Wikipage redirect of	Applications of memetic algorithms Hybrid Genetic Algorithm Hybrid genetic algorithm Memetic Computing Memetic algorithms
is Link from a Wikipage to another Wikipage of	Applications of memetic algorithms Biogeography-based optimization Genetic algorithm Genetic and Evolutionary Computation Conference Global optimization Dual-phase evolution Metaheuristic Cultural algorithm Hybrid Genetic Algorithm Hybrid algorithm Hybrid genetic algorithm Hybridisation Hyper-heuristic Kimeme List of algorithms Memetic computing Evolutionary algorithm Evolutionary computation Feature selection Meme Memetic Computing Society Memetics Mathematical optimization Multidisciplinary design optimization Neuroevolution Memetic Computing Memetic algorithms
is foaf:primaryTopic of	http://en.wikipedia.org/wiki/Memetic_algorithm

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