Self-adjusting multidisciplinary design of hydraulic engine mount using bond graphs and inductive genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{Tabatabaei:2016:EAAI,
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author = "S. Karim Tabatabaei and Saeed Behbahani and
Clarence W. {de Silva}",
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title = "Self-adjusting multidisciplinary design of hydraulic
engine mount using bond graphs and inductive genetic
programming",
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journal = "Engineering Applications of Artificial Intelligence",
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volume = "48",
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pages = "32--39",
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year = "2016",
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ISSN = "0952-1976",
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DOI = "doi:10.1016/j.engappai.2015.10.010",
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URL = "http://www.sciencedirect.com/science/article/pii/S0952197615002390",
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abstract = "This paper presents a novel approach in
multidisciplinary design of mechatronic systems, using
an inductive genetic programming (IGP) along with a
bond graph modelling tool (BG). The proposed design
algorithm dynamically explores the space of finding
optimal design solutions through using two navigated
steps for simultaneous optimization of both topology
and parameters. In the first step, an IGP tool is
applied on the bond graph embryo model of the system
for topology synthesis. In the second step, an
optimization tool that incorporates an artificial
immune system (AIS) is implemented for optimization of
the parameter values. A supervisory loop statistically
analyses the efficiency of the different mechatronic
elements in improving the system times's performance.
By acquiring knowledge and learning from prior trials,
the evolution parameters are automatically and
dynamically adjusted, with the aim to achieve more
efficient evolution progress. The developed method is
practically compared with an available bond
graph-genetic programming (BGGP) method via designing
an aerospace engine mount system. Results show that
more navigated and accurate design results are acquired
from the proposed method.",
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keywords = "genetic algorithms, genetic programming,
Multidisciplinary design, Bond graphs, Artificial
immune system, Evolutionary design",
- }
Genetic Programming entries for
S Karim Tabatabaei
Saeed Behbahani
Clarence W de Silva
Citations