Evolutionary Algorithms and Applications
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Scope of this subject
This cluster of papers focuses on the application of genetic programming in machine learning, particularly in the areas of classification, feature selection, symbolic regression, and evolvable hardware. It explores the use of evolutionary algorithms and learning classifier systems to solve complex problems, with an emphasis on multiobjective optimization and semantic genetic programming.
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Research vocabulary
genetic programming; evolutionary computation; evolutionary robotics; symbolic regression; neuroevolution; evolvable hardware; learning classifier systems; grammatical evolution; Cartesian genetic programming; artificial evolution; genotype-phenotype mapping; evolutionary design; XCS; classifier systems; fitness evaluation; NEAT; interactive evolutionary computation; linear genetic programming; hardware evolution; evolutionary learning; neural network evolution; multi-objective genetic programming; genetic network programming; novelty search; controller evolution
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Numeric address and provenance
Morton address: 36183556640345307 · morton4x16-v1
Coordinates: (3, 17, 1702, 11975). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.
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