Theoretical foundations of automated synthesis using Bond-Graphs and genetic programming

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@InProceedings{Kayani:2008:ieeeICET,
  author =       "Saheeb Ahmed Kayani",
  title =        "Theoretical foundations of automated synthesis using
                 Bond-Graphs and genetic programming",
  booktitle =    "4th International Conference on Emerging Technologies,
                 ICET 2008",
  year =         "2008",
  month =        "18-19 " # oct,
  address =      "Rawalpindi, Pakistan",
  pages =        "11--16",
  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",
  DOI =          "doi:10.1109/ICET.2008.4777466",
  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.",
  notes =        "Also known as \cite{4777466}",
}

Genetic Programming entries for Saheeb Ahmed Kayani

Citations