Interweaving genetic programming and genetic algorithm for structural and parametric optimization in adaptive platform product customization

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@Article{Li:2007:RCIM,
  author =       "L. Li and G. Q. Huang and Stephen T. Newman",
  title =        "Interweaving genetic programming and genetic algorithm
                 for structural and parametric optimization in adaptive
                 platform product customization",
  journal =      "Robotics and Computer-Integrated Manufacturing",
  year =         "2007",
  volume =       "23",
  number =       "6",
  pages =        "650--658",
  month =        dec,
  note =         "16th International Conference on Flexible Automation
                 and Intelligent Manufacturing",
  keywords =     "genetic algorithms, genetic programming, Product
                 platform, Platform product customisation, GBOM,
                 Evolutionary algorithm",
  DOI =          "doi:10.1016/j.rcim.2007.02.014",
  abstract =     "An adaptive product platform offers high
                 customisability for generating feasible product
                 variants for customer requirements. Customisation takes
                 place not only to product platform structure but also
                 to its relevant parameters. Structural and parametric
                 optimisation processes are interwoven with each other
                 to achieve the total optimality. This paper presents an
                 evolutionary method dealing with interwoven structural
                 and parametric optimisation of adaptive platform
                 product customisation. The method combines genetic
                 programming and genetic algorithm for handling
                 structural and parametric optimization, respectively.
                 Efficient genetic representation and operation schemes
                 are carefully adapted. While designing these schemes,
                 features specific to structural and parameter
                 customisation are considered for the simplification of
                 platform product management. The experimental results
                 show that the performance of the proposed algorithm
                 outperforms that of the tandem evolutionary algorithm
                 in which a genetic algorithm for parametric
                 optimisation is totally nested in a genetic programming
                 for structural optimisation.",
}

Genetic Programming entries for L Li George Q Huang Stephen T Newman

Citations