Graph-based Genetic Programming
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F22%3APU146650" target="_blank" >RIV/00216305:26230/22:PU146650 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/3520304.3533657" target="_blank" >http://dx.doi.org/10.1145/3520304.3533657</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3520304.3533657" target="_blank" >10.1145/3520304.3533657</a>
Alternative languages
Result language
angličtina
Original language name
Graph-based Genetic Programming
Original language description
Although the classical way to represent programs in Genetic Programming (GP) is by means of an expression tree, different GP variants with alternative representations have been proposed throughout the years. One such representation is the Directed Acyclic Graph (DAG), adopted by methods like Cartesian Genetic Programming (CGP), Linear Genetic Programming (LGP), Parallel Distributed Genetic Programming (PDGP), and, more recently, Evolving Graphs by Graph Programming (EGGP). The aim of this tutorial is to consider this methods from a unified perspective as graph-based GP, present their historical background, representation features, operators, applications, and available implementations.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference
ISBN
978-1-4503-9268-6
ISSN
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e-ISSN
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Number of pages
25
Pages from-to
958-982
Publisher name
Association for Computing Machinery
Place of publication
Boston
Event location
Boston
Event date
Jul 9, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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