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- Genetic_representation abstract "In computer programming, genetic representation is a way of representing solutions/individuals in evolutionary computation methods. Genetic representation can encode appearance, behavior, physical qualities of individuals. Designing a good genetic representation that is expressive and evolvable is a hard problem in evolutionary computation. Difference in genetic representations is one of the major criteria drawing a line between known classes of evolutionary computation.Genetic algorithms use linear binary representations. The most standard one is an array of bits. Arrays of other types and structures can be used in essentially the same way. The main property that makes these genetic representations convenient is that their parts are easily aligned due to their fixed size. This facilitates simple crossover operation. Variable length representations were also explored in Genetic algorithms, but crossover implementation is more complex in this case.Evolution strategy uses linear real-valued representations, e.g. an array of real values. It uses mostly gaussian mutation and blending/averaging crossover.Genetic programming (GP) pioneered tree-like representations and developed genetic operators suitable for such representations. Tree-like representations are used in GP to represent and evolve functional programs with desired properties.Human-based genetic algorithm (HBGA) offers a way to avoid solving hard representation problems by outsourcing all genetic operators to outside agents, in this case, humans. The algorithm has no need for knowledge of a particular fixed genetic representation as long as there are enough external agents capable of handling those representations, allowing for free-form and evolving genetic representations.".
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- Genetic_representation wikiPageRevisionID "601400371".
- Genetic_representation hasPhotoCollection Genetic_representation.
- Genetic_representation subject Category:Evolutionary_algorithms.
- Genetic_representation type Abstraction100002137.
- Genetic_representation type Act100030358.
- Genetic_representation type Activity100407535.
- Genetic_representation type Algorithm105847438.
- Genetic_representation type Event100029378.
- Genetic_representation type EvolutionaryAlgorithms.
- Genetic_representation type Procedure101023820.
- Genetic_representation type PsychologicalFeature100023100.
- Genetic_representation type Rule105846932.
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- Genetic_representation comment "In computer programming, genetic representation is a way of representing solutions/individuals in evolutionary computation methods. Genetic representation can encode appearance, behavior, physical qualities of individuals. Designing a good genetic representation that is expressive and evolvable is a hard problem in evolutionary computation.".
- Genetic_representation label "Genetic representation".
- Genetic_representation label "Genetische Repräsentation".
- Genetic_representation sameAs Genetische_Repräsentation.
- Genetic_representation sameAs m.09lj4f.
- Genetic_representation sameAs Q5532920.
- Genetic_representation sameAs Q5532920.
- Genetic_representation sameAs Genetic_representation.
- Genetic_representation wasDerivedFrom Genetic_representation?oldid=601400371.
- Genetic_representation isPrimaryTopicOf Genetic_representation.