Evolutionary Design of Both Topologies and Parameters of a Hybrid Dynamical System
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{Dupuis:2011:ieeeTEC,
-
author = "Jean-Francois Dupuis and Zhun Fan and
Erik D. Goodman",
-
title = "Evolutionary Design of Both Topologies and Parameters
of a Hybrid Dynamical System",
-
journal = "IEEE Transactions on Evolutionary Computation",
-
year = "2012",
-
volume = "16",
-
number = "3",
-
pages = "391--405",
-
month = jun,
-
keywords = "genetic algorithms, genetic programming, Embryo,
Encoding, Junctions, Mechatronics, Switches, Automated
design, bond graphs, evolutionary design, hybrid
mechatronic systems",
-
ISSN = "1089-778X",
-
DOI = "doi:10.1109/TEVC.2011.2159724",
-
size = "15 pages",
-
abstract = "This paper investigates the issue of evolutionary
design of open-ended plants for hybrid dynamical
systems, i.e., both their topologies and parameters.
Hybrid bond graphs (HBGs) are used to represent
dynamical systems involving both continuous and
discrete system dynamics. Genetic programming, with
some special mechanisms incorporated, is used as a
search tool to explore the open-ended design space of
hybrid bond graphs. Combination of these two tools,
i.e., HBGs and genetic programming, leads to an
approach called HBGGP that can automatically generate
viable design candidates of hybrid dynamical systems
that fulfill predefined design specifications. A
comprehensive investigation of a case study of DC-DC
converter design demonstrates the feasibility and
effectiveness of the HBGGP approach. Important
characteristics of the approach are also discussed,
with some future research directions pointed out.",
-
notes = "also known as \cite{6045329}",
- }
Genetic Programming entries for
Jean-Francois Dupuis
Zhun Fan
Erik Goodman
Citations