Towards compositional coevolution in evolutionary circuit design
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{Sikulova:2014:ICES,
-
author = "M. Sikulova and G. Komjathy and L. Sekanina",
-
booktitle = "IEEE International Conference on Evolvable Systems
(ICES 2014)",
-
title = "Towards compositional coevolution in evolutionary
circuit design",
-
year = "2014",
-
month = dec,
-
pages = "157--164",
-
abstract = "A divide and conquer approach is one of the methods
introduced to get over the scalability problem of the
evolutionary circuit design. A complex circuit is
decomposed into modules which are evolved separately
and without any interaction. The benefits are in
reducing the search space and accelerating the
evaluation of candidate circuits. In this paper, the
evolution of non-interacting modules is replaced by a
coevolutionary algorithm, in which the fitness of a
module depends on fitness values of other modules, i.e.
the modules are adapted to work together. The proposed
method is embedded into Cartesian genetic programming
(CGP). The coevolutionary approach was evaluated in the
design of a switching image filter which was decomposed
into the filtering module and detector module. The
filters evolved using the proposed coevolutionary
method show a higher quality of filtering in comparison
with filters using independently evolved modules.
Furthermore, the whole design process was accelerated
1.31 times in comparison with the standard CGP.",
-
keywords = "genetic algorithms, genetic programming, cartesian
genetic programming",
-
DOI = "doi:10.1109/ICES.2014.7008735",
-
notes = "Also known as \cite{7008735}",
- }
Genetic Programming entries for
Michaela Sikulova
G Komjathy
Lukas Sekanina
Citations