A new genetic programming framework based on reaction systems
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{Manzoni:2013:GPEM,
-
author = "Luca Manzoni and Mauro Castelli and
Leonardo Vanneschi",
-
title = "A new genetic programming framework based on reaction
systems",
-
journal = "Genetic Programming and Evolvable Machines",
-
year = "2013",
-
volume = "14",
-
number = "4",
-
pages = "457--471",
-
month = dec,
-
keywords = "genetic algorithms, genetic programming, Reaction
systems, Evolutionary computation",
-
ISSN = "1389-2576",
-
DOI = "doi:10.1007/s10710-013-9184-y",
-
size = "15 pages",
-
abstract = "This paper presents a new genetic programming
framework called Evolutionary Reaction Systems. It is
based on a recently defined computational formalism,
inspired by chemical reactions, called Reaction
Systems, and it has several properties that distinguish
it from other existing genetic programming frameworks,
making it interesting and worthy of investigation. For
instance, it allows us to express complex constructs in
a simple and intuitive way, and it lightens the final
user from the task of defining the set of primitive
functions used to build up the evolved programs. Given
that Evolutionary Reaction Systems is new and it has
small similarities with other existing genetic
programming frameworks, a first phase of this work is
dedicated to a study of some important parameters and
their influence on the algorithm's performance.
Successively, we use the best parameter setting found
to compare Evolutionary Reaction Systems with other
well established machine learning methods, including
standard tree-based genetic programming. The presented
results show that Evolutionary Reaction Systems are
competitive with, and in some cases even better than,
the other studied methods on a wide set of
benchmarks.",
- }
Genetic Programming entries for
Luca Manzoni
Mauro Castelli
Leonardo Vanneschi
Citations