Niching Genetic Scheme With Bond Graphs for Topology and Parameter Optimization of a Mechatronic System

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@Article{Behbahani:2013:Mechatronics,
  author =       "Saeed Behbahani and Clarence W. {de Silva}",
  journal =      "IEEE/ASME Transactions on Mechatronics",
  title =        "Niching Genetic Scheme With Bond Graphs for Topology
                 and Parameter Optimization of a Mechatronic System",
  year =         "2014",
  month =        feb,
  volume =       "19",
  number =       "1",
  pages =        "269--277",
  ISSN =         "1083-4435",
  abstract =     "This paper presents a novel multimodal evolutionary
                 optimisation algorithm for the complex problem of
                 concurrent and integrated design of a mechatronic
                 system, with the objective of realising the best
                 topology and the best parameters from a multicriteria
                 viewpoint and with different preferences. The
                 associated search space can be large and complex due to
                 the existence of different classes of configurations,
                 possible topologies, and the parameter values of the
                 elements. The proposed algorithm efficiently explores
                 the search space to find several elite configurations
                 for different preferences, with more detailed
                 competition by incorporating the domain knowledge of
                 experts and considering some criteria that are not
                 included in the course of regular evolutionary
                 optimisation. The developed approach consists of a
                 two-loop optimisation. For each topology, a genetic
                 algorithm-based optimisation is performed to find an
                 elite representative of the topology. The elites will
                 compete with each other to become the best design. A
                 strategy of restricted competition selection is
                 employed in the competition of topologies, with the aim
                 of finding alternative elites from which the one that
                 best satisfies the customer preference may be chosen.
                 The designer may incorporate a higher level competition
                 between elites in order to obtain the global optimum.",
  keywords =     "genetic algorithms, genetic programming, Bond graphs,
                 car suspension, genetic algorithms (GAs), genetic
                 programming (GP), niching genetic schemes, skyhook",
  DOI =          "doi:10.1109/TMECH.2012.2230013",
  ISSN =         "1083-4435",
  notes =        "Also known as \cite{6389779}",
}

Genetic Programming entries for Saeed Behbahani Clarence W de Silva

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