Evolving Nonlinear Multigrid Methods With Grammar-Guided Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8028
- @InProceedings{parthasarathy:2023:GECCOcomp,
-
author = "Dinesh Parthasarathy and Jonas Schmitt and
Harald Koestler",
-
title = "Evolving Nonlinear Multigrid Methods With
{Grammar-Guided} Genetic Programming",
-
booktitle = "Proceedings of the 2023 Genetic and Evolutionary
Computation Conference",
-
year = "2023",
-
editor = "Sara Silva and Luis Paquete and Leonardo Vanneschi and
Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and
Arnaud Liefooghe and Bing Xue and Ying Bi and
Nelishia Pillay and Irene Moser and Arthur Guijt and
Jessica Catarino and Pablo Garcia-Sanchez and
Leonardo Trujillo and Carla Silva and Nadarajen Veerapen",
-
pages = "615--618",
-
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,
grammar-guided genetic programming, code generation,
nonlinear multigrid methods: Poster",
-
isbn13 = "9798400701191",
-
DOI = "doi:10.1145/3583133.3590734",
-
size = "4 pages",
-
abstract = "We formulate a formal grammar to generate Full
Approximation Scheme multigrid solvers. Then, using
Grammar-Guided Genetic Programming we perform a
multiobjective optimization to find optimal instances
of such solvers for a given nonlinear system of
equations. This approach is evaluated for a
two-dimensional Poisson problem with added
nonlinearities. We observe that the evolved solvers
outperform the baseline methods by having a faster
runtime and a higher convergence rate.",
-
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
Dinesh Parthasarathy
Jonas Schmitt
Harald Koestler
Citations