Maelstrom: An Accelerator-Compatible GP Framework

Created by W.Langdon from gp-bibliography.bib Revision:1.7662

@InProceedings{seals:2023:EvoSoft,

• author = "Deacon Seals and Robert Wilkes and Daniel Tauritz",
• title = "Maelstrom: An Accelerator-Compatible {GP} Framework",
• booktitle = "Evolutionary Computation Software Systems",
• year = "2023",
• editor = "Stefan Wagner and Michael Affenzeller",
• pages = "1882--1890",
• address = "Lisbon, Portugal",
• series = "GECCO '23",
• month = "15-19 " # jul,
• organisation = "SIGEVO",
• publisher = "Association for Computing Machinery",
• publisher_address = "New York, NY, USA",
• keywords = "genetic algorithms, genetic programming, island models, coevolution, software systems",
• isbn13 = "9798400701191",
• DOI = "doi:10.1145/3583133.3596359",
• size = "9 pages",
• abstract = "This work presents the Maelstrom framework for strong-typed tree GP. Maelstrom is a Python library designed to facilitate rapid prototyping and exploration of weak-typed tree GP, strong-typed tree GP, island model, and coevolution with flexibility that enables support for accelerator frameworks such as JAX. The architecture and features of Maelstrom are discussed alongside several example applications employing Gym environments and an accelerated version of predator-prey.",
• 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 Deacon Seals Robert Wilkes Daniel R Tauritz

Citations