Theoretical foundations of automated synthesis using Bond-Graphs and genetic programming
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- @InProceedings{Kayani:2008:ieeeICET,
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author = "Saheeb Ahmed Kayani",
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title = "Theoretical foundations of automated synthesis using
Bond-Graphs and genetic programming",
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booktitle = "4th International Conference on Emerging Technologies,
ICET 2008",
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year = "2008",
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month = "18-19 " # oct,
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address = "Rawalpindi, Pakistan",
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pages = "11--16",
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keywords = "genetic algorithms, genetic programming, Darwinian
evolution concept, Darwinian natural selection concept,
automated invention machine, automated mechatronic
system design methodology, automated mechatronic system
synthesis, bond graph modeling, bond graph simulation,
computer program, dynamic system, evolutionary
computation, feedback scheme, fuzzy logic, genetic
programming paradigm, machine intelligence, multienergy
domain character, neural network, object-oriented
polymorphic graphical description, physical system
design, search method, unified notation scheme, bond
graphs, digital simulation, mechanical engineering
computing, mechatronics, object-oriented programming",
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DOI = "doi:10.1109/ICET.2008.4777466",
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abstract = "Automated synthesis refers to design of physical
systems using any of the models proposed for machine
intelligence like evolutionary computation, neural
networks and fuzzy logic. Mechatronic systems are mixed
or hybrid systems as they combine elements from
different energy domains. These dynamic systems are
inherently complex and capturing underlying energy
behavior among interacting sub-systems is difficult
owing to the variety in the composition of the
mechatronic systems and also due to the limitation
imposed by conventional modeling techniques unable to
handle more than one energy domain. Bond-graph modeling
and simulation is an advanced domain independent,
object oriented and polymorphic graphical description
of physical systems. The universal modeling paradigm
offered by bond-graphs is well suited for mechatronic
systems as it can represent their multi energy domain
character using a unified notation scheme. Genetic
programming is one of the most promising evolutionary
computation techniques. The genetic programming
paradigm is modeled on Darwinian concepts of evolution
and natural selection. Genetic programming starts from
a high level statement of a problem's requirements
along with a fitness criterion and attempts to produce
a computer program that provides a solution to the
problem. Combining unified modeling and analysis tools
offered by bond-graphs with topologically open ended
synthesis and search capability of genetic programming,
a novel automated design methodology has been developed
for generating mechatronic systems designs using an
integrated synthesis, analysis and feedback scheme
which comes close to the definition of a true automated
invention machine. This research paper develops a
theoretical foundation for automated synthesis and
design of mechatronic systems using bond-graphs and
genetic programming.",
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notes = "Also known as \cite{4777466}",
- }
Genetic Programming entries for
Saheeb Ahmed Kayani
Citations