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

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