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Abstraction-Based Genetic Programming
Details
Abstraction-Based Genetic Programming (ABGP) is a novel Genetic Programming (GP) system in which the set of all possible genotypes is partitioned by the proofs to which each program is linked via the Curry- Howard isomorphism. In the context of ABGP, proofs are related to computer programs in the same way as species are related to organisms in the biological world. They can be seen as patterns into which alleles of genes may be plugged in. In this analogy, genes are types and an allele of a gene is a closed typed computational block that may be combined with other blocks to form an organism. The type of an allele is the gene to which it corresponds.
Autorentext
Franck Binard lives in Ottawa, Canada. His many research interests include evolutionary computation, machine learning, financial computing and emergence. He obtained his doctorate in Computer Science from the University of Ottawa in 2009. His thesis advisor was Amy Felty.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783639191738
- Genre Technik
- Sprache Englisch
- Anzahl Seiten 184
- Herausgeber VDM Verlag Dr. Müller e.K.
- Größe H220mm x B220mm
- Jahr 2009
- EAN 9783639191738
- Format Kartonierter Einband (Kt)
- ISBN 978-3-639-19173-8
- Titel Abstraction-Based Genetic Programming
- Autor Franck Binard
- Untertitel An Application of the polymorphically-typed lambda calculus to genetic programming