A grammatical evolution approach to the automatic inference of P systems
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{Nadizar:2023:JMC,
-
author = "Giorgia Nadizar and Gloria Pietropolli",
-
title = "A grammatical evolution approach to the automatic
inference of {P} systems",
-
journal = "Journal of Membrane Computing",
-
year = "2023",
-
volume = "5",
-
pages = "129--143",
-
keywords = "genetic algorithms, genetic programming, Grammatical
evolution, P system, Membrane computing, Evolutionary
algorithms",
-
ISSN = "2523-8906",
-
URL = "https://rdcu.be/dNuWw",
-
DOI = "doi:10.1007/s41965-023-00125-w",
-
size = "15 pages",
-
abstract = "We consider a setting where observations of successive
configurations of a P system are available, and we rely
on GE for automatically inferring the P system, i.e.,
its ruleset. Such approach directly addresses the
identification problem, but it can also be employed for
automated design, requiring the designer to simply
express the configurations of the P system rather than
its full ruleset. We assess the practicability of the
proposed method on six problems of various difficulties
and evaluate its behavior in terms of inference
capability and time consumption. Experimental results
confirm our approach is a viable strategy for small
problem sizes, where it achieves perfect inference in a
few seconds without any human intervention. Moreover,
we also obtain promising results for larger problem
sizes in a human-aided context, paving the way for
fully or partially automated design of P systems.",
- }
Genetic Programming entries for
Giorgia Nadizar
Gloria Pietropolli
Citations