GPStar4: A Flexible Framework for Experimenting with                  Genetic Programming 
Created by W.Langdon from
gp-bibliography.bib Revision:1.8612
- @InProceedings{amblard:2023:GGP,
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  author =       "Julien Amblard and Robert Filman and Gabriel Kopito",
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  title =        "{GPStar4:} A Flexible Framework for Experimenting with
Genetic Programming",
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  booktitle =    "Graph-based Genetic Programming",
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  year =         "2023",
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  editor =       "Roman Kalkreuth and Thomas Baeck and 
Dennis G. Wilson and Paul Kaufmann and Leo Francoso Dal Piccol Sotto and 
Timothy Aktinson",
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  pages =        "1910--1915",
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  address =      "Lisbon, Portugal",
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  series =       "GECCO '23",
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  month =        "15-19 " # jul,
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  organisation = "SIGEVO",
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  publisher =    "Association for Computing Machinery",
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  publisher_address = "New York, NY, USA",
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  keywords =     "genetic algorithms, genetic programming, experimental
framework, directed acyclic graph representations,
population algorithms",
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  isbn13 =       "9798400701191",
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  DOI =          " 10.1145/3583133.3596369", 10.1145/3583133.3596369",
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  size =         "6 pages",
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  abstract =     "GPStar4 is a flexible workbench for experimenting with
population algorithms. It is a framework that defines a
genetic cycle, with inflection points for implementing
an algorithm's specific behaviors; it also provides a
variety of implementations for these inflection points.
A user of the system can select from the provided
implementations and customize the places where
alternative behavior is desired, or even create their
own implementations. Components interact through a
context mechanism that enables both mutable and
immutable information sharing, type checking, computed
defaults and event listeners.Interesting predefined
components included in GPStar4 are implementations for
classical tree-based expression structures; acyclic
multigraphs with named ports, type systems for flat,
hierarchical and attribute types, recursively defined
populations using both subpopulation and
build-from-parts semantics, and numeric and
multi-objective fitnesses. Key enabling technologies
for this flexibility include context mechanisms,
choosers, and a variety of caches.GPStar4 can be run as
an API library for other applications, as a
command-line application, or as a stand-alone
application with its own GUI.",
- 
  notes =        "GECCO-2023 A Recombination of the 32nd International
Conference on Genetic Algorithms (ICGA) and the 28th
Annual Genetic Programming Conference (GP)",
- }
Genetic Programming entries for 
Julien Amblard
Robert Filman
Gabriel Kopito
Citations
